Author Archives: Vincent

About Vincent

Just your average physicist/computational neuroscientist turned software engineer.

Mathematics as a single player, evergreen strategy game.

I spend a fair amount of time on the Keith Burgun Games Discord, which is a community built up around Keith Burgun’s game design theory work. He’s interested, I would say, in designing so-called evergreen strategy games in the vein of Go or Chess. That is, games which facilitate long term engagement. He is also interested in single player strategy games.

My sense is that these two goals compete pretty strongly with one another. Without providing a full account, my sense is that evergreen strategy games like Go and Chess are evergreen almost entirely due to the fact that they are multiplayer games. The addition of a human opponent, in my view, radically changes the game design landscape. As such, single player game design is different beast. This might account for why single player strategy games seem to fall short of evergreen character, where they exist at all.

How might we account for these differences? The basic argument is thus: all a multiplayer strategy game must do is provide a large enough state space between the two players that, in the presence of intelligent play, there is enough richness that a conversation and a culture of conversation can arise. I understand multiplayer, competitive strategy games in at least the following way: in such games each player wants to reach a goal while preventing the other player from the same or a similar goal. To do so they must construct and execute a strategy (which encompasses, for our purposes, both a strategy to the goal and a counterstrategy against the other player). The player naturally wishes to conceal their strategy from their competitor, but each move they make necessarily communicates information about their strategy. The vital tension of the game comes from the fact that it forces the competitors into a conversation where each utterance is the locus of two, competing, but necessary, goals: to embody the players strategy and to reveal as little about it as possible.

From this point of view the rules of a multiplayer game can be quite “dumb.” They do not, alone, provide the strategic richness. They only need to give a sufficiently rich vocabulary of moves to facilitate the conversation. One way of seeing this is to consider that the number of possible games of Go is vastly larger than the number of games of Go human players are likely to play. Go furnishes a large state space, much of which is unexplored. The players of Go furnish the constraints which make the game live.

Single player games, even in the era of the computer, which can enforce a large number of rules, struggle to meet the level of richness of multiplayer games exactly for the same reason computers cannot pass the Turing test. A computer alone cannot furnish a culture or a conversation.

(At this point you may raise the point that computers can play Go and Chess. This is true. But they cannot play like a person. In a way, the fact that AlphaGo plays in ways which surprise expert player’s of Go demonstrates my point. Playing AlphaGo is a bit like playing against a space alien who comes from an alternative Go tradition. Interpreting a move that AlphaGo makes is challenging because it isn’t part of the evolved culture of Go. In a sense, its moves are in a different language or dialect.)

Terrence Deacon argues, in Incomplete Nature (a very useful book the fundamental point of which perhaps fails to land) that we can make useful progress understanding phenomena in terms of constraint rather than in terms of construction. For instance, we can nail down what a game of Go is as much by describing what doesn’t occur during a game than what does. Another way to appreciate this point is to recognize that we can play Go with orange and blue glass beads as well as we can play it with shell and slate pieces: the precise material construction of the pieces and the board don’t matter to the game. The question I want to pose from this point of view is: where do operating constraints in a game of Go come from?

I think I’ve made a clear argument by this point that the constraints which define any given game of Go come from the players rather than the rules of Go. The rules of Go merely create a context of constraint which forces the players to interact. By creating a context where each move necessarily (partially) communicates the (hopefully concealed) intent of each player, Go creates a space where someone can be said to have a style of play. Where two players can even be said to have a style. Even a community can be understood as having a style. Play, then, is more like a literary tradition than it is like a fully rational analytical process exactly by virtue of the fact that in the presence of such a large true state space of games, play stays near a much smaller, often intuitively or practically understood, effective state space.

Single player games operate in a similar way. Either the single player or a computer enforces some rules, but the rules themselves imply (typically) a much larger true state space than the state space explored by human players. The difference is, of course, that the player is competing against a much simpler counter-constrainer. In most single player, computer hosted, strategy games the counter-constraining forces are typically a small number of very simple agents pursuing a bunch of distinct goals. If you think of each move of a game as being an utterance in a dialog, as is the case in a two player game, then, in a single player game, the player is doing worse than having a conversation with themselves: they are speaking to no one, though the game engine might be attempting to provide an illusion of conversation. Providing the illusion of culture and conversation is the grand challenge of single player strategy game design.

(Interesting note: from this point of view, games have hardly evolved from the simple (and arguably deeply unsatisfying) text-interpreters of text adventure games.)

Believe it or not, all that was front matter for the following observation which I find myself returning to over and over: Mathematics is perhaps the best example of a single player, evergreen, strategy game-like institution.

Mathematics can plausibly be described as a game. The lusory goal of a mathematical exercise is typically to construct a particular sentence in a formal language using the less than efficient means provided by the rules of that formal system. In other words, you could just write out the sentence, but you don’t let yourself do so. You force yourself, using only the formal rules of your system and your axioms, to find a way to construct the sentence. As in real games, the number of possible rewrites you can make using the formal system is much, much larger than the ones you’re actually interested in. In a real sense, the mathematician is doing the heavy lifting when it comes to the practical character of a formal system. Indeed, the community of mathematicians is doing the lifting. They develop an evolving culture of proof strategy which constrains the typical manipulation of symbols profoundly. In this way, the practice of mathematics is much like the play of multiplayer strategy games. There are probably many, many ways to prove a given theorem, assuming it is provable, but exactly because the space of proof is so large and because humans are so limited in comparison to it, style evolves as a necessity. It helps us prune probably ineffective strategies.

What insights are there here for us, as game designers? It seems to be a maxim, over at the Keith Burgun discord, that we ought not to let the player design the game. Often this comes up in places where players are given agency over goals. We might find that players adopt restrictions on their play to intentionally increase difficulty. Or they might design arbitrary goals like playing without losing any health or restricted to a subset of the board. If we to build an analogy to mathematics, it would be as if we specially designated a class of mathematicians to identify target proofs and then handed them to a distinct set of mathematicians (forbidden to invent their own theorems) to prove them. But it is precisely the freedom of mathematicians to invent their own rules and goals that makes mathematics so much like an evergreen game. To use the language of constraint, mathematicians are able to play against themselves. They build both the rules of the game and then they constrain the space of play by playing. Having the freedom to choose goals and means, they can ensure that play remains stimulating even in the absence of an opponent.

In contrast, players of single player, computer hosted strategy games who are forced to pursue only the goals the designer wants, are hamstrung to grapple with systems which inevitably offer insufficiently rich constraints. Designer’s who forbid themselves from considering player-selected goals (and even player modification of rules) are restricting themselves from considering design questions like “What sort of rule sets facilitate interesting goal choices?” Such limitations make their games as dead as the computers which host them. Not entirely dead, but pretty lifeless.

Why Physicists Need Their Space

A few weeks ago I attended the Rutgers/Columbia Symposium on the Metaphysics of Quantum Field Theory. This morning in the shower a few things I’ve been thinking about snapped into place relating to that conference and my own hobby-level interest in related questions.

Some background: Ontology, meaning “what stuff is fundamental and what stuff is derived?” is important in the question of the foundations of physics. You can see this going all the way back to Thales (624 – c. 546 BC) who, in the traditional account, is the first “scientist” exactly because he proposed an ontology: water is real, all other phenomena are derived from water. (Note that the idea of supervenience enters into the discussion here: in Thales’ account, for instance, because a rock is fundamentally a sort of water, we can say that the higher level properties of rock supervene upon the fundamental properties of water in some way.) Contrast this with the atomists, who posit that atoms are fundamental objects and other things supervene upon them. Or contrast it with idealists, like Plato, who claim that in some sense forms are ontologically fundamental and that real things supervene upon them.

Now, one of the many ways to see what is hard about QM is that it challenges the ontological status of space itself. This is, in fact, one of the most important ways it’s challenging from a philosophical point of view. That is, for lots of reasons (of which more later), we tend to believe that space is fundamental.

But why do we care so much about space? There are ways of deriving the Schrodinger Equation (which governs the behavior of quantum mechanical systems) from ontologies which don’t include space at all (consequently, space isn’t part of the ontology of these theories at all). See Lee Smolin 2014 – Nonlocal Beables. (NB the vogue is to call observables “beables”). It seems like, if we can find a nice way of getting QM from a more fundamental theory without any of the other weirdnesses (like considering that the wave function is real, for instance) that explains why it seems like wave function collapse constitutes action at a “distance”, then we ought to take it. After all, if we can show that space isn’t ontologically real then we shouldn’t be afraid of some non-spacelike aspects to our theory. Space “emerges” from some low-level dynamics of a non-spatial system. It isn’t fundamentally challenging that some of those dynamics won’t be space like and so we don’t need to grind our teeth and rend our garments about Bell’s Inequality or other Entanglement related phenomena: they are just the fundamentally non-spacey nature of reality peaking around the corners of a low energy/classical limit.

Considering that entanglement presents us with some otherwise very unusual epistemological challenges, this seems to me like a great escape hatch. Or at least it did until I spent some time thinking about how important geometry is to physics.

Believe it or not, action at a distance isn’t a new controversy in physics. It goes back way before entanglement was a twinkle in Schrödinger’s eye. The ancient Greeks were obsessed with it and Descartes and Newton worried a lot about it too. One way of telling the story is to think about planetary motion. The critical insight to planetary motion (this account more or less derives directly from Crowe’s Mechanics from Aristotle to Einstein, 2007) was that objects have momentum (which even Newton conceived of as a kind of force). Without the idea of momentum its hard to imagine what keeps planets in their orbits. The most common explanation at the time of Newton was some sort of substance filling space which had vorticial motion, and thus which carried the planets along in their circular orbits. What was particularly appealing about this to someone like Descartes (for reasons about which I could write a whole other essay) is that it was a theory without action at a distance. The sun might have been the source of a vortex which carried earth around it, but it was the local motion of the fluid which pushed the earth along, and that motion was transmitted from the sun to the location of the earth by local interactions in the fluid itself. That is, there was not some mysterious tendency transmitted over empty space which caused the motion. Everything was local. At the heart of this is both the idea that there is no action at a distance, that inanimate objects don’t move on their own and a deep underlying notion that interactions are always local (which is part and parcel with the sense that space is part of our ontology).

The irony is that Newton, the great hero of the scientific perspective, is the less materialist of the two. In The Principia (1687) he makes such enormous progress by dispensing with the notion that he needs to worry about precisely how the interaction between massive bodies is mediated and instead focuses purely on its mathematical description. In a way, Newton is thus in the “shut up and calculate” camp. Newton doesn’t throw space out of the ontology but he does profoundly weaken its role by at least suggesting that we don’t need to think of every interaction in the universe as mediated in a purely local sense (though he never outright claims gravitation force is nonlocal). If your goal is to calculate the motion of the planets, then this is a great tactic and is, in a way, the essence of good model building: whatever the underlying structure of space-time, its certainly true to a high degree of accuracy that gravity appears to act instantaneously across empty space to produce a force on distant objects. (By the way, Max Jammer’s 1957 Concepts of Force has enlightening things to say on this subject since it helps ground the philosophical notion of force exactly in the physiological experience of pushing or pulling, though we are about to see a compelling reason to believe that the gravitational force is nothing like that at all).

In a way, we can see Newton’s Principia as leapfrogging science’s ability to calculate far ahead of philosophy’s ability to account for what is exactly happening. In that sense, there is an analogy between General Relativity and Newtonian Mechanics and between some heretofore undiscovered ur-theory and Quantum Mechanics: General Relativity provided a kind of philosophical closure between the Cartesian and Newtonian split over the locality of interactions by re-inventing an ontological role for space(time).

General Relativity tells us that no force at all pulls or pushes on the planets. Instead, it says the planets move the way they when the true geometry of space-time is taken into account, they are simply following what locally looks like the plain old Newtonian notion that objects in motion continue to move in a straight line unless acted upon.

Supersymmetry is an attempt to resolve the problems of quantum field theory by imagining that every fermion (boson) in the standard model has a bosonic (fermionic) super-symmetric partner. At this point the theory is out of favor: we’ve never seen these super-symmetric particles in accelerators which means they’d have to be very massive indeed. But one interesting aspect of the theory which was developed in a talk by David Baker at the Rutgers/Columbia Conference is that the addition of such supersymmetric particles introduces aspects of the theory which you could consider elevating to space-time coordinates (however Grassman valued). Why would you want to do that? Well, because its very natural to say that space-time symmetries generate or cause physics. This is the essence of General Relativity and of Yang-Mills style theories, so it underlies both GR and one of the best tools we have to develop useful Quantum Field Theories. Even my passing familiarity with both disciplines is enough to sniff out that these theories are extremely local and geometric. That is practically what differential geometry means.

That is the point of this essay. Modern physics is so used to treating geometry (of spacetime) as ontologically prior that the idea that geometry itself might supervene upon some more fundamental physics is truly challenging. From this point of view, you might prefer to do something like just say the wavefunction is real, even though doing so drastically expands the universe (by introducing a vast number of new observers into it, for instance).

Images, Causality, Disassociation, Interactivity and Videogames

I’ve got an eight month old. Watching a baby come to terms with the world can teach you a lot of things. For instance, and as a kind of hors d’oevre, consider the word “shush.” To an adult human being, its an imperative verb which indicates that you should be quiet. To a baby it resembles the sound of blood rushing in the womb and is, therefore, supposed to be calming. As a baby learns that sounds can have arbitrary meaning, the “shush” as simulation becomes the “shush” as symbol – the baby comes to appreciate that we can mean things with sounds we make.

My baby spends a lot of time feeling the texture of things. In particular, he’s interested in pictures in books, over which he carefully draws his pointer finger, alternating between the finger tip and scraping with the fingernail. Its not too hard to see that he is curious about the difference between images of things and things themselves. In particular, he seems to have cottoned to the fact that things themselves feel a certain way when you touch them whereas mere images feel like paper or laminate or cardboard, and are more or less undifferentiated qua image with respect to feeling.

When I dwell on this interest, it strikes me how marvelous images really are: they represent a profound collapse of the ordinary causal relationship between light entering our eyes and the objects with which that light has interacted. Wood grain looks like wood grain because it has the physical structure of wood grain. Its dark, striated areas appear as such because the material is ridged, casting some parts into shadow with respect to the source of illumination. A photograph of wood grain inherits the visible properties of the object while it separates them from an immediate cause. The visual aspects of a photograph can be easily manipulated (particularly in the modern era) without changing the way the photograph feels, but most modifications to actual wood grain meant to accomplish a visual change will also result in changes in the physical structure of the object. Our brains, of course, evolved in a context where this relationship between the way we perceive things and the underlying structure of the things themselves, is often strong. This is why when we see a piece of wood we expect it to feel like a piece of wood. It’s probably why my child is so interested in touching pictures in his books: because the breakdown between the visual perception of the thing and any obvious physically relevant structure is novel.

Part of the power of images is related to this detachment from material cause. Things themselves only ever depict (in our senses) that which is literally possible. Images can depict whatever they are designed to depict, whether its causally plausible or not. A normal person has the visual form of a person on account of the fact that they are made up of bones, muscles, fat, etc, that they have a certain mass and weight. When a human bends their knees and leaps into the air, the height of their leap is, ultimately, a property of all these material causes. Superman,  however much he might resemble a person, can leap tall buildings with a single bound, because the resemblance is, in a sense, entirely incidental. A comic book merely depicts physics and thus may take liberties, while a 100 meter dash is physics. Images can exploit the fact that that which is depictable is much more various than that which is possible.

To take a lurching step towards the point before my baby wakes up from his nap: technology in general has this property of obscuring the relationship between cause and effect. Technology can even be understood primarily in terms of the careful manipulation of cause and effect to accomplish what might otherwise be an unlikely outcome. From this point of view a computer is almost literally a cause/effect obfuscator. It presents to us, the user, a two-dimensional interface on which almost any cause and effect relationship can obtain at all. A real xylophone has the property that larger blocks vibrate at lower frequencies, and so a necessary material relationship between music and the structure of the xylophone appears. We can easily imagine a simulation of a xylophone where the relationship between apparent block size and the sound each block makes when struck is the opposite or totally random. Take the piano as an example somewhere in between: its keys are all the same size: the strings which produce the sounds are hidden behind the curtain, so to speak. We can’t as easily infer from the piano that sound is deeply related to vibration, which is related to mass and energy. Computers are the apotheosis of the movement between the xylophone and the piano: their inner workings are, at the human scale, so subtle, that no amount of inspection with the senses can reveal how cause and effect are tangled up inside them.

Armed with these insights, we can put on our game designer’s hat and begin to build up a new way of thinking about what precisely we are doing when design digital interactive systems. I’d like to make two points: the first is that we often feel alienated from experiences when there is a disconnect between the apparent causal structure of those experiences and their actual evolution in time. A good example of this is those old physical racing toys you sometimes still see: a steering wheel controls (by virtue of a connected lever) a plastic car while the image of a road, with obstacles, printed on a loop of paper, is scrolled through a viewing window. The player is expected to avoid collision with these obstacles by virtue of their own understanding of the implied relationship between the objects: cars crash when they strike things like trees or other cars. We quickly grow tired of these sorts of games, not just because we are expected to enforce the rules ourselves (which is also true of games like Chess) but because the causal relationships they do embody are trivial compared to (and distant from) the causal relationships they appear to embody.

The point is that, if we want to engage players, we should provide simulations of causal relationships which are meaningful and we should avoid both acausal elements (like pure randomness) and discrepancies between depictions and causality.  If the presentation of our game suggests, by reference to physical processes with which we are all familiar, that a particular causal relationship is in force in our simulation, then we ought to make that relationship present or we should eliminate the appearance of that relationship from the presentation.

Canny readers will probably recognize that this goes against philosophies like “juice it or lose it,” which seem to suggest that the experience of play is actually enhanced by the intense elaboration of the appearance of our game elements. A more nuanced position can be developed, however: we can and ought to feel free to elaborate on the image our interactive system presents precisely in those ways which underline the causal relationships which our system embodies. When a ball strikes a wall, its probably good to indicate that with sound, dust particles, a shaking screen. On the other hand, if we do elaborate 3d modelling of rocks falling down a mountain, but they don’t interact with our player’s avatar, then we’ve introduced the appearance of a relationship that our system fails to deliver on.

None of this is to say that such appearances might not lead to more saleable products or that they might not provide pleasure to players. That leads me to my second, moral, point. We, as game designers, ought to respect our players by giving them interactive systems which communicate clearly about the relationships they embody for exactly the same reasons that we ought to communicate honestly in real life or in any other art form.

This isn’t to say that our simulations have to correspond to reality or be as realistic as possible. On the contrary, if we wish to explore systems which deviate from reality with our players, we must take even greater care to harmonize the representation of those systems with their underlying structure. We might dazzle players for awhile with elaborate audiovisuals, but unless those operate in concert with the causal structure of our games, we’ll almost certainly have wasted their time (or, at the very least, missed an opportunity to provide real interactive value.)

More Thoughts about Roadkill

When I think about whats wrong with the world, I often return to the image of a dead dog on the highway I drive to work every morning.
 
I say dog, but it’s probably a wolf or a coyote. Its dead body appeared sometime in mid-winter last year, leaned up against the barrier between the road and the endless construction projects, with their piles of gravel, idling heavy equipment, and signs pointing up at powerlines, tiny cartoon men in electrical paroxysms against orange backgrounds. When the weather warms up a bit you see a lot of roadkill, if you drive a lot.
 
The bigger animals are often so shredded by their encounter with an automobile that they look like raw pastries, like strudels which have been sliced open and twisted so their filling can pour out and caramelize in the oven. But this big coyote was more or less intact.
 
This environment, between the endless stream of cars and the torn up earth or naked concrete of the construction area, is so inimical to life that scavengers, who usually benefit from roadkill, picking away at it over the course of a day or so that the corpses seem to evaporate in the time lapse of your daily drive past them, are too afraid to descend on it, and so this animal’s body just lay there, day after day. It seemed like the very forces of decay, the least pleasant, but most implacable, of the forces of nature, were arrested by this alien environment which, each day, as I drive through it, bleaches out my mind.
 
Eventually, sometime last year, as spring came on, the body just vanished. I assume some city service eventually picked it up and threw it in a dump somewhere.
 
There is another dead coyote in more or less the same place this year.

On the (pseudo?)-paradox of “fair” games.

Fair Games and 50% Win Chances

I’ll take it as an assumption in the rest of this article that a fair game is one where each player has a 50% chance of winning. We also sometimes call such a situation a “good match” or say that the game will be good if we believe such a state of affairs prevails. We also tend to view negatively the opposite condition, wherein one player has a huge advantage over the other and hence where we expect the probability of that player losing is very low (implying the probability of the other player losing is very high).

Dismal Coin FlipThese considerations aren’t limited to two player competitive games.  If we are playing a single player, digital or otherwise interactive game, we call that game “fair” when we have about a 50% chance of winning. We would call a game where our chance of winning is ~1% unfair or badly designed, and where our chance of winning is ~99% boring or badly designed.

A Pseudo-contradiction

At first glance this seems to imply a contradictory attitude, one illustrated by recalling that we also call a coin flip “fair” if there is a 50% chance of the coin landing on either face. If the purpose of a game is to determine which player is the better player, how can it be that we seem to also want the outcome of the game to be as random as possible (such that for good matches, each player has a 50% chance of winning). It would appear that good games have random outcomes and that seems to contradict their apparent purpose in measuring how well a player plays.

(NB. The account is a little harder to render in the case of single player interactive systems. However, it seems paradoxical that a player would engage with a system with the intent of winning when the outcome could equivalently be determined by the toss of a coin).

Resolution

I don’t think this is a genuine paradox, of course: when we say a game is fair, what we are saying is that the outcome isn’t random, but that it depends, sensitively, on which player makes the better sequence of moves in response to the other player. Why sensitively? Well, when two players are closely matched the the outcome of the game, if the win probability for either player is 50%, should depend very sensitively on how well each player actually plays. In particular, close matches come down to one or two critical mistakes or strokes of brilliance to tip the scales in one direction.

(This is particularly true because of another property of games (approximate reversibility) which I believe games must also have, but which I don’t discuss here.)

So it isn’t really surprising that we can resolve this merely apparent contradiction about games. But the resolution points us towards another important argument:

Implications about Randomness

Because the outcome of a good game should depend sensitively on the moves of the player, the randomness present in a good game should be minimal or not present at all. Why? Because if the outcome of a game depends sensitively on the moves the player makes, then it also must necessarily depend sensitively on random influences on the game state. Why? For outcomes to depend sensitively on a move implies that each move a player makes is carefully tuned for the game state, which they have correctly appreciated in order to make the right move. But if the game state changes randomly, then a good move might be turned into a bad move by a random change in the game state.

(It is possible to imagine random changes to the game state which don’t change the quality of moves. But if this is the case, then these changes to the game state are _extraneous_ to playing the game and may as well be removed).

Conclusion

To restate the argument:

  1. we believe games should be fair, which is to say that a given player should have a 50% change of winning
  2. this is because we want games to be sensitive tests of the quality of play of the given player, where the outcome depends sensitively on moves. We don’t want the game itself to be actually be random in the sense that the outcome is extraneous to the game itself.
  3. Random elements (which are necessarily extraneous to the game in their origin) reduce the sensitivity of the win condition on the specific moves made by a player
  4. Hence, good games should have minimal random elements.

This argument puts game designers in a difficult position. For designers of multiplayer games, they must make sure that the game’s rules don’t advantage particular players or add the appropriate handicap if they do. This turns out to be difficult. In Chess, for instance, white has a slight win chance, although the precise probability is unknown. Typically, for a new game without a long history of play, it will be very hard to determine whether such a bias exists and what size it might be.

With the rise of computers and single player strategy games a different set of design concerns manifests. The temptation in single player game design is to use random elements to provide variety for a gameplay system which may not have the strategic depth furnished by the presence of a second rational player. It is hard to imagine a deterministic single player game with the same initial conditions each play that can stand up to repeated play.

I think the way forward here is to randomize the initial conditions of any such game subject to the constraint that a given initial condition preserves the win 50% rate (perhaps based on artificial intelligence play or some other way of characterizing win chance) and then to make play from that point forward completely deterministic.

Yawning

The baby was fussy all morning, and when he finally went to sleep, in the crook of his mother’s arm, after nursing we were scared to leave him alone in case the silence woke him up. I made carbonara downstairs, ate, and then went to lie beside him reading while Shelley took her portion.

As I re-positioned my leg, my knee popped loudly, startling the baby. He stretched his arms above his head and pawed at his face with the backs of his hands. These gestures were familiar to me from my own body. I had seen, too, him sneeze or yawn. I imagined for a moment, that I had given these things to him, but that transposition made a deeper truth clear.

My cat, who slept above us, on a table over the bed we had arranged on the floor, stretched and yawned. He sneezes. When we turn the lights on at night to change Felix’s diaper, he sprawls onto his stomach and covers his eyes with his paws, sulkily. These gestures, taught to us by no one, inherent in us, which you could have observed in my child minutes after he was born, belong to an unimaginably ancient process of which we are merely brief manifestations.

Human beings tie themselves into knots or grind themselves to featureless lumps, struggling to connect with something vast and ancient. We don’t stop to think that each time we yawn we are in contact with something profound and atavistic, something older than history, bigger than the merely human.

The Ethics of Game Design

In the next week or so, I’ll be on the Dinofarm Games Community Podcast talking about the ethics of game design. My baby is just one week old, though! So I might not have been as coherent there as I wanted to be. As such, I thought I’d collect a few notes here while they were still in my head.

As a preamble: there are lots of ethical implications of games that I don’t discuss here. Particularly social ones: since games often depict social and cultural situations (like novels, plays or television shows) similar ethical concerns operate for games as for those artifacts. Here I’m specifically interested in those special ethical questions associated with games as interactive systems.

The question I’m interested in is: “What are the ethical obligations of a game designer, particularly to the player?” In a way, this is an old question in a new disguise, recognizable as such since the answer tends to dichotomize in a familiar way: is the game designer supposed to give the player what they want or is she supposed to give the player that which is good for them?

Let’s eliminate some low hanging fruit: if we design a game which is addictive, in the literal sense, I think most people will agree that we’ve committed an ethical lapse. There are a few folks out there with unusual or extreme moral views who would argue that even a game with bona fide addictive qualities isn’t morally problematic, but to them I simply say we’re operating with a different set of assumptions. However, the following analysis should hopefully illuminate exactly why we consider addictive games problematic as well as outline a few other areas where games ethical impact is important.

I think the most obvious place to start with this kind of analysis is to ask whether games are leisure activity, recreation or whether they provide a practical value. By leisure activity I mean any activity which we perform purely for pleasure, by recreation, I mean an activity that is performed without an immediate practical goal but which somehow improves or restores our capacity to act on practical goals, and by practical value, I mean something which immediately provides for a concrete requirement of living.

Its a little unclear where games fall into this rubric. It is easiest to imagine that games are purely leisure activities. This fits the blurb provided by the wikipedia article and also dovetails, broadly, with my understanding of games in public rhetoric. Categorizing games as purely leisure activities seems to justify a non-philosophical attitude about them: what is the point of worrying about the implications of that which is, at a fundamental level, merely a toy¹?

Point number one is that even toys, which have no practical purpose but to provide fun, are subject to some broad ethical constraints. It isn’t implausible to imagine that we could implant an electrode directly into a person’s brain such that the application of a small current to that electrode would produce, without any intervening activity, the sensation of fun. We could then give the person a button connected to that electrode and allow them to push it. This is technically an interactive system, perhaps even a highly degenerate game. It is certainly providing the player with the experience of fun, directly. However, its likely that a person so equipped would forego important practical tasks in favor of directly stimulating the experience of fun. If we gradually add elements between button presses and the reward or between the electrodes and the reward circuitry, we can gradually transform this game into any interactive system we could imagine. Clearly, at some point, the game might lose its property that it overwhelms the player’s desire to perform practical tasks. That line is the line between ethical and non-ethical game design.

In other words, game designers subscribing to the leisure theory of games are still obligated, perhaps counter-intuitively, to make their games sufficiently unfun that they don’t interfere with the player’s practical goals.

We have two interpretations of game value: the recreational and the practical interpretations.

Of these, the idea of the game as recreation may be closest to what is often discussed on the Dinofarm Discord channel. Its also frequently the narrative used to justify non-practical games. You’ve likely heard or even used the argument that digital games can improve hand-eye coordination or problem solving skills. This interpretation rests on their existing an operational analogy between the skills required to play a game and those required to perform practical tasks. There is a lot of literature on whether such a link exists and what form or forms it takes.

If no such link exists we can rubbish this entire interpretation of games, so its more interesting to imagine the opposite (as it least seems to sometimes be the case). When a link exists the value proposition for a game is: this game provides, as a side effect of play, a practical benefit. Why the phrase “as a side effect of play?” Because, if the purpose of the game is to provide the practical benefit, then we must always compare our game against some practical activity which might provide more of that same benefit than an equivalent effort directed towards non-game activity.

To choose a particularly morally dubious example, we might find that playing Doom improves firing range scores for soldiers. But shouldn’t we compare that to time spent simply practicing on the firing range? Without some further argumentative viscera, this line of thinking seems to lead directly to the conclusion that if games are recreation, we might always or nearly always find some non-game activity which provides a better “bang” for our buck.

Elaborating on this line of argument reveals what the shape of the missing viscera might be. Why is it plausible that we could find some non-game activity that works as well or better than any given game at meeting a practical end? Because games must devote some of their time and structure to fun and, as such, seem to be less dense in their ability to meet a concrete practical goal. In Doom, for instance, there are a variety of mechanics in the game which make it an exciting experience which don’t have anything to do with the target fixation behavior we are using to justify our game.

But we can make an argument of the following form: a purely practical activity which results the improvement of a skill requires an amount of effort. That effort might be eased by sweetening the activity with some fun elements, converting it to a game, allowing less effort for a similar gain of skill.

On this interpretation the ethical obligation of the game designer is to ensure that whatever skill they purport to hone with their game is developed for less effort than the direct approach. If they fail to meet this criteria, then they fail to provide the justification for their game.

The final interpretation we need to consider is that games themselves provide a direct, practical, benefit. I think this is a degenerate version of the above interpretation. It turns out to be difficult to find examples of this kind of game, but they do exist. Consider Fold.it, a game where player activity helps resolve otherwise computationally expensive protein folding calculations.

In this kind of game the developer has a few ethical obligations. The first is to make sure that the fun the game provides is sufficient compensation for the work the player has done or to otherwise make sure the player’s play is given with informed consent. For instance, if we design a game that gives player’s fun to solve traveling salespeople problems which, for some reason, we are given a cash reward for solving, a good argument can be made that, unless the game is exceptionally fun, we’re exploiting our player base. If the game were really so fun as to justify playing on its own terms, why wouldn’t we simply be playing it ourselves?

Game designers of this sort also need to make sure that there isn’t a more efficient means to the practical end. Since the whole purpose of the game is to reach a particular end, if we discover a more efficient way to get there, the game is no longer useful.

I think there is probably much more to say on this subject but I had a baby a week ago and three hours of sleep last night, so I think I will float this out there in hopes of spurring some discussion.

The Dinofarm Community Interpretation

At the end of the podcast we decided on a very specific definition of games (from an ethical standpoint). We (myself and users Hopenager and Redless) decided games could  be described as a kind of leisure whose purpose is to produce the feeling of pleasure associated with learning. Since this is a leisure interpretation, we aren’t concerned directly with practical value, which I think is square with the way we typically think of games. However, as a leisure interpretation we need a theory of how games operate in the context of the player’s larger goals.

Let’s sketch one. What circumstances transpire in a person’s life where they have the desire for the pleasure associated with learning but are unable to pursue that desire in productive terms? One possibility is fatigue: after working on productive activities, a person might have an excess of interest in the experience of learning but a deficit of energy to pursue those productive activities. In that situation, a game can satisfy the specific desire with a lower investment of energy (which could mean here literal energy or just lower stress levels – games, since they aren’t practical, are typically less stressful than similar real world situations).

Once the game is completed, the desire ought to be satisfied but not stimulated, allowing the player to rest and then pursue practical goals again.

Again, there are probably other possible ways of situation ethical games in this interpretation, but I think this is a compelling one: games should satisfy, but not stimulate, the desire to learn, and only in those situations where that desire might not be more productively used, as is in the case of mental exhaustion or the need to avoid stress.

Games shouldn’t have a “loop” which intends to capture the player’s attention permanently. Indeed, I think ethical games should be designed to give up the attention of the player fairly easily, so they don’t distract from practical goals.

And them’s my thoughts on the ethics of game design.

¹: Note that there is a loose correspondence between our rubric and The Forms. Toys, roughly, seem to be objects of leisure, puzzles and contests are arguably recreation, and games are, potentially, at least, objects of real practical value. Maybe this is the interpretation of games is the one underlying “gamification” enthusiasts.

Accounting for Turtles

When we bought the land, the irrigation pond, formed at the lowest point of the property by an earthen dam now overgrown with pines, cherry trees, and hobbles of tangled honey suckle, had failed. After cutting our way through the tall grass between the pond and the road and wading out into the swamp mud which now marked out the area where water had been, we found it: a four inch, rusted out, galvanized steel pipe down which water fell in a cold, sonorous trickle, despite the heat. Pieces of the rusted pipe, too few and small to form the whole of the missing riser, which otherwise seemed to have almost completely disintegrated, littered the area.

A year later, after we had repaired the riser with a clean new piece of white PVC, an orange bucket and twenty pounds of concrete mixed with muddy water, a storm rolled in over the ridge to the north west and I dreamed that I saw, from the porch, a huge turtle making its slow way through the grassy shallow ditch from the road down to the pond.

In May, and for several months afterwards, turtles, seeking new habitats or mates or following their own silent intuitions, make their way across the rural roads around our home. You see them standing on the side of the road as cars rush past in the morning, as if contemplating making a run for it.

Or you see their bodies, mangled or crushed into chunks of muscle and shell, attracting flies in the afternoon heat which melts the tar between the pebbles of the asphalt. That summer I found a special sympathy developing for those animals. The natural defenses of such animals give them a relaxed, even clumsy, attitude which doesn’t prepare them for the dangers of living among humans. Whenever I saw a turtle furtively planning a trip across a road I would pull over and, using a camouflage work glove with black, spray on, latex grips that I kept in the car for the purpose, move it across the road. Usually, deep into the grass on the other side to discourage a return trip.

A few months after I dreamed of the enormous turtle I took a canoe out onto the water to inspect the new riser. As I got close I saw a pale yellow something sticking out from the top. It was a turtle which had gotten stuck, head first, down the pipe. It was dead, and while its feet and shell had been baked and desiccated by the sunlight, its head was down in the trickling darkness and covered in a film of almost airy mucous that made me think of the ectoplasmic expulsions of spiritualists.

After that day I attached a foot long, perforated, PVC section to the top of the riser so that other animals wouldn’t get sucked in.  I also started to keep a tally of the number of turtles I picked up and moved across the road and the number I saw killed or already dead.

This practice of counting turtles exposes you to suffering.

Once, unable to stop immediately to move a turtle, I watched the truck behind me pass it harmlessly only for its trailer to catch its edge and send it hurtling into the ditch alongside the road. Similar scenes often played out – you see the turtle crushed by the car behind you, or, after managing to find a place to turn around, you find only pieces. On one occasion, a turtle which was sitting at the side of the road, as through ready to cross, had already been hit. It seemed whole, but there were cracks along the seams of its shell. I carefully moved it under a tree. I wondered for some time whether turtles could survive such a thing or of it died of blood loss or dehydration, its essence sublimating off into the summer air.

State of the Life

Here is where I am in July of 2017.

Baby Time

My spouse and I are having a baby in a few months. Its hard to know what to say about this since, in addition to being highly personal, it involves, in principle, at least, the interests of at least two other human beings. I will say this. When I got married and began living with my spouse, I felt, ironically, that for the first time in my life, I had to live not just with her, but with myself. By that I mean that my own emotional state inside my home no longer radiated away harmlessly, but was responded to and echoed back at me. Until that moment in my life, I think I’ve always tried to ignore, suppress or dissipate any emotional activity but suddenly it was clear that I could no longer afford to ignore a part of myself which could affect my intimate partner.

Having a kid is like that but times ten. My partner is, at least, an adult, with her own independent existence, ability to ignore my worst qualities and even sympathize with my imperfections. A child, on the other hand, experiences a more unbalanced relationship with their parents, one, furthermore, made more fraught by material dependence and a lack of a frame of reference. I always think, at this point, of Huxley’s The Island, wherein children are raised by groups of people so that they don’t experience unalloyed exposure to the peculiarities of their parents. Contemporary western civilization, so obsessively organized around the patriarchal family unit, seems perverse in comparison. Adding to this sense of pressure is our extremely rural location and hence comparative isolation. Luckily we have some great neighbors upon whom I am (hopefully gently) prevailing to have children.

At any rate, each day I find that I turn more scrutiny upon myself.

Health

I’m thirty-six.  Sometime in high-school I started doing push ups in the morning. In college I joined a rowing team and in so doing was exposed, perhaps for the first time, to the pleasures of physical conditioning. With a few notable periods in my life since then, I’ve been more or less aggressively fit. Starting at the beginning of this year, though, I’ve finally recovered a fairly aggressive routine of physical fitness which looks something like this:

  • Monday: fast mile (currently 6:35s) + weightlifting
  • Tuesday: rowing intervals. 24 minutes of rowing (plus warm up and cool down). Three minute intervals consisting of a hard sprint for one minute (split 1:53) and a cool down (split 2:00). Over 24 minutes I average a split of 1:58 or so.
  • Wednesday: slow run (4 miles at a 7:30s pace) or a leisurely row for about a half hour.
  • Thursday: same as Tuesday
  • Friday: Same as monday

I started the year at about an eight minute mile and I am slowly peeling off seconds. I seem to recall having run a sub six-minute mile in high school or college some time. I’m curious whether I can get back down to that time before the baby comes.

Sporadically I am working on my 2k sprint on the rowing machine. I’m doing about a 7:35 these days. I feel like I am close to my maximum without more aggressive cross training. So far I’ve never experienced any significant chest pain so I assume I am not going to die from exercise any time soon.

In other health news I’m drinking too much coffee. I typically cut back in the summer time, but I have an hour long drive to work and its boring. Attempts to drink less coffee have left me a little frightened of the drive.

Intellectual Life

I’m spread pretty thin. In this category I place game development, generative art work, technical skills related and unrelated to work, philosophy and physics.

Games and Game Design

On the practical subject of game design, my game The Death of the Corpse Wizard came out about a month ago – I’ve sold about 40 copies without doing much advertising. More importantly, since I don’t make my living as a game designer or developer, I think I’ve created a game with some substance, not entirely devoid of genuine value. I’m still contemplating to what degree I plan on developing Corpse Wizard forward or whether I want to move on to greener pastures.

On the less practical question of game design theory I’m working on trying to understand whether we can bring quantitative techniques to bear on the question of what constitutes a good strategy game. In particular, I’m trying to nail down exactly what sorts of properties the phase space of a game has, at each decision point, that make games feel fun.

I can give you a sense of what sorts of questions I am trying to think about quantitatively. Its typically understood that a game ought to present a player with about a 50% chance of winning if its to be fun. Its better to state that in the negative: the outcome of a game shouldn’t be a foregone conclusion. You can see this at work in two player games, where match making is always employed.

Incidentally, there is a pseudo-paradox here: the point of a two-player game appears to be to determine whether player 1 is better than player 2. Yet, paradoxically, we call only those games where a given player has a 50% chance of winning “fair.” But if each player has a 50% chance of winning, the outcome seems to  be random, which means it cannot teach us which player is better! I leave it as an exercise to the reader to puzzle out what, if any, resolution is possible.

Anyway, suppose we are dutiful game designers. On the first turn of our game, the player’s chance of winning must necessarily be 50%, then. One question I am interested in is: what does that chance of winning look like as a function of time? Is it flat at 50% until the end of the game? This seems unlikely. Why? Because when we play a game we are, at each turn, asking what move raises our chances of winning! If our chance of winning is flat, then the game will feel meaningless,  because no action will change the win rate. On the other hand, other paradoxes seem to manifest: suppose that instead a skilled player almost always chooses a move which increases her chance of winning. If that is the case, then at some point in the game, the chance of winning will be 90%. But at this point, the game’s outcome seems like a foregone conclusion! Why keep playing if almost all possible move sequences from turn N result in a win. In other words, it seems like games become more boring towards their ends, if we define boring as the property that their outcome is easy to predict.

In other words: it seems like the desire to make games non-boring is in tension with the desire to make the game playable. If the game is playable, then at each turn the player can, in principle, increase her chance of winning. If she can always increase her chance of winning, then, at some point, the game will become boring.

All this has to do with the way that individual moves change the win rate. This is, for simple games, anyway, tractable numerically. So I’m working on some experiments to try and suss out some of the structure of games and how it changes as we change the rules.

Physics

As mostly a hobby and an attempt to keep all those years of studying physics fresh, I’ve become interested in getting a good grasp of the interpretation of Quantum Mechanics. To that end I’ve started planning and produce a series of lectures covering RIG Hughes’ book “The Structure and Interpretation of Quantum Mechanics.” The book is very good (I’m about halfway through, in terms of deep understanding). About the only complaint I could make about it is that the introductory chapters do a good job of comparing and contrasting classical and quantum mechanics, whereas I think the more interesting comparison is between classical probabilistic mechanics and quantum mechanics. Both theories operate naturally on Hilbert spaces. Classical probabilistic mechanics seems to me to have an unambiguous interpretation (though see: https://arxiv.org/pdf/physics/0703019.pdf) but obviously there are differences between classical probabilistic physics and quantum mechanics.

Note that the ordinary formulation of QM makes this comparison non-trivial. I think of it this way: suppose we have a classical 1D system with N particles. Each has two degrees of freedom, its position and momentum, so we need 2N numbers to represent the classical state. If we imagine shrinking this system down (or engaging in some sort of metaphysical transition) so that the system becomes quantum mechanical, each particle requires a wave function which, in open space, has an infinite number of values, one for every point in space (for instance). That is, our 2N numbers must become N*∞. It seems like we’ve lost a factor of two. But we haven’t – each of those numbers in the wave function are complex valued, so, apart from the fact that complex numbers have structure which in some ways makes them seem like less than the sum of their (real and imaginary) parts, we’re back to where we start.

Contrast that with thinking about a probabilistic description of the classical system. In that case, we simply take each observable quantity (of which there are 2N) and create a probability distribution, which has an infinite number of values per N. So we have 2*N*∞ numbers to deal with. Rather than N wave functions, which serve as a combined representation of position and momentum, we have 2*N probability distributions, each of which is mapped directly onto a classical observable.

Three questions, then:

  1. Can we find a representation for Quantum Mechanics which is directly comparable to Classical Mechanics?
  2. Can we find a representation for Classical Mechanics which is directly comparable to Quantum Mechanics?
  3. In either of the above cases, what precisely accounts for the differences between the classical and quantum mechanical pictures?

Since I’m not smart enough to even pose questions which haven’t been posed before, I think, after enough reading, I can answer these questions.

  1. Yes – the Phase Space Formulation of Quantum Mechanics uses the Wigner-Weil transform to map the wave function to position/momentum phase space quasi-probability distribution.
  2. Yes – just create N wave functions from 2N probability distributions by adding Q + iP together for each particle.
  3. In the first case the critical distinction between the quasi-probability distributions and the classical probability distributions is that the former sometimes take values less than 0. In the second case the quantum mechanical system still admits no dispersion free states, whereas any combination of probability distributions is allowed in the classical case. It would be interesting to work out the mathematics, but the requirement that no state is dispersion free, which has to do with the operators which represent position and momentum and the Born Rule, imposes a constraint on the types of momentum probability distributions which can coexist with each particular position probability distribution.

Anyway, if there were some miraculous surfeit of free time in my future, I’d like to spend some of it working out these ideas in detail. I’m sure it would be educational for me.

Generative Artwork

Since Clocks I haven’t undertaken a single large generative art project with a coherent theme. I’m still interested in the themes of that project: minimizing artificial randomness in generative systems in favor of exploring patterns implicit therein.

On the other hand, I have worked on a few interesting little etudes.:

  1. Ceatues, a system built on coupled games of life.
  2. Spin, a sort of continuous, tune-able version of Langton’s Ant
  3. Meat is Mulder, an experiment in piecing together.

And I’ve been lucky enough to lecture a few times at the soon to be defunct Iron Yard:

  1. Generative Music with Javascript
  2. Making Generative Art with Javascript

More and more I see generative artwork and game design as tightly related fields. The difference lies entirely in the the absence of direct player interaction with the generative artwork. But the same quality of of lying just at the edge of predictability, which produces a sense of life in a generative artwork, generates interesting player situations in games.

I suppose I’m more interested in game design than generative art at the moment, but maybe something will strike me. The one big advantage of generative artwork is that it can be easier to work on in small bursts.

Emotional Health

I suppose that I have left this section for last indicates a bias which characterizes this entire component of my life. That bias is that I tend to not reflect deeply or frequently about whether I am happy nor not and, when I do so reflect, I tend to do so with my prefrontal cortex, so to speak.

I suppose I am happy from that point of view. I have a good relationship with my partner, a child on the way, a beautiful home and a job which is, for the most part, both reasonable and well compensated.

When I reflect deeply on my life, however, I wonder. I wonder first whether happiness really matters and I wonder whether I would or could be happier if I had a career which more accurately reflects both my gifts and my interests (two categories which don’t always overlap).

Impending fatherhood encourages reflection. You can’t help but wonder not how your child will see you, but how your example will affect your child’s conception of the world. Suddenly all your negative qualities, your petty unhappinesses, sloth and unkemptness are in sharp focus. A child ought not be exposed to a passenger seat full of empty coffee cups. What sort of universe is it where your father’s mood sours because his tiny video-game hasn’t won widespread acclaim. It seems so easy to live for the approval of others until you feel the keen but naive eye of childhood bearing down on you.

My big hope is that I’ll rise to this challenge, strip off my pettiness without losing those qualities which make living as myself possible.

Goals, Anti-Goals and Multi-player Games

In this article I will try to address Keith Burgun‘s assertion that games should have a single goal and his analysis of certain kinds of goals as trivial or pathological. I will try to demonstrate that multi-player games either reduce to single player games or necessitate multiple goals, some of which are necessarily the sorts of goals which Burgun dismisses as trivial. I’ll try to make the case that such goals are useful ideas for game designers as well as being necessary components of non-trivial multi-player games.

(Note: I find Keith Burgun’s game design work very useful. If you are interested in game design and have the money, I suggest subscribing to his Patreon.)

Notes on Burgun’s Analytical Frame

The Forms

Keith Burgun is a game design philosopher focused on strategy games, which he calls simply games. He divides the world of interactive systems into four useful forms:

  1. toys – an interactive system without goals. Discovery is the primary value of toys.
  2. puzzle – bare interactive system plus a goal. Solving is the primary value of the puzzle.
  3. contests – a toy plus a goal all meant to measure performance.
  4. games – a toy, plus a goal, plus obfuscation of game state. The primary value is in synthesizing decision making heuristics to account for the obfuscation of the game state.

A good, brief, video introduction to the forms is available here. Burgun believes a good way to construct a game is to identify a core mechanism, which is a combination of a core action, a core purpose, and a goal. The action and purpose point together towards the goal. The goal, in turn, gives meaning to the actions the player can take and the states of the interactive system.

On Goals

More should be said on goals, which appear in many of the above definitions. Burgun has a podcast which serves as a good long form explication of many of his ideas. There is an entire episode on goals here. The discussion of goals begins around the fifteen minute mark.

Here Burgun provides a related definition of games: contests of decision making. Goals are prominent in this discussion: the goal gives meaning to actions in the game state.

Burgun raises a critique of games which feature notions of second place. He groups such goals into a category of non-binary goals and gives us an example to clarify the discussion: goals of the form “get the highest score.”

His analysis of the poorness of this goal is that it seems to imply a few strange things:

  1. The player always gets the highest score they are capable of because the universe is deterministic.
  2. These goals imply that the game becomes vague after the previous high score is beaten, since the goal is met and yet the game continues.

The first applies to any interactive system at all, so isn’t a very powerful argument, as I understand it. Take a game with the rules of Tetris except that the board is initialized with a set of blocks already on the board. The player receives a deterministic sequence of blocks and must clear the already present blocks, at which point the game ends. This goal is not of the form “find the highest score” or “survive the longest” but the game’s outcome is already determined by the state of the universe at the beginning of the game. From this analysis we can conclude that if (1) constitutes a downside to the construction of a goal, it doesn’t apply uniquely to “high score” style goals.

(2) is more subtle. While it is true that in the form suggested, these rules leave the player without guidelines after the goal is met, I believe that in many cases a simple rephrasing of the goal in question resolves this problem. Take the goal:

G: Given the rules of Tetris, play for the highest score.

Since Tetris rewards you for clearing more lines at once and since Tetris ends when a block becomes fixed to the board but touches the top of the screen, we can rephrase this goal as:

G': Do not let the blocks reach the top of the screen.

This goal is augmented by secondary goals which enhance play: certain ways of moving away from the negative goal G' are more rewarding than others. Call this secondary goal g: clear lines in the largest groups possible. Call G' and goals like it “anti-goals.”

This terminology implies the definition.

If a goal is a particular game state towards which the player tries to move, an anti-goal is a particular state which the player is trying to avoid. Usually anti-goals are of the form “Do not allow X to occur” Where X is related to a (potentially open ended) goal.

Goals of the “high score” or “survive” variety are (or may be) anti-goals in disguise. Rephrased properly, they can be conceived of in anti-goal language. Of course there are good anti-goals and bad ones, just as there are good goals and bad goals. However, I would argue that the same criteria applies to both types of goals: a good (anti) goal is just one which gives meaning to the actions a person is presented with over an interactive system.

Multi-Player Games and Anti-Goals

I believe anti-goals can be useful game design, even in the single player case. In another essay I may try to make the argument that anti-goals must be augmented with mechanics which tend to move the player towards the anti-goal against which players must do all the sorts of complex decision making which produces value for players.

However, there is a more direct way of demonstrating that anti-goals are unavoidable aspects of games, at least when games are multi-player. This argument also demonstrates that games with multiple goals are in a sense inevitable, at least in the case of multi-player games. First let me describe what I conceive of as a multi-player game.

multi-player game: A game where players interact via an interactive system in order to reach a goal which can only be attained by a single player.

The critical distinction I want to make is that a multi-player game is not just two or more people engaged in separate contests of decision making. If there are not actions mediating the interaction of players via the game state then what is really going on is many players are playing many distinct games. A true multi-player game must allow players to interact (via actions).

In a multi-player game, players are working towards a win state we can call G. However, in the context of the mechanics which allow interaction they are also playing against a (set of) anti-goals {A}, one for each player besides themselves. These goals are of the form “Prevent player X from reaching goal G“. Hence, anti-goals are critical ingredients to successful multi-player game design and are therefore useful ideas for game designers. Therefore, for a game to really be multi-player then there must be actions associated with each anti-goal {A}.

An argument we might make at this point is that if players are playing for {A} and not explicitly for G then our game is not well designed (for instance, it isn’t elegant or minimal). But I believe any multi-player game where a player can pursue G and not concern herself with {A}, even in the presence of game actions which allow interaction, is a set of single player games in disguise. If we follow our urge to make G the true goal for all players at the expense of {A} then we may as well remove the actions which intermediate between players and then we may as well be designing a single player game whose goal is G.

So, if we admit that multi-player games are worth designing, then we also admit that at least a family of anti-goals are worth considering. Note that we must explicitly design the actions which allow the pursuit of {A} in order to design the game. Ideally these will be related and work in accord with the actions which facilitate G but they cannot be identical to those mechanics without our game collapsing to the single player case. We must consider {A} actions as a separate (though ideally related) design space.

Summary

I’ve tried to demonstrate that in multi-player games especially, anti-goals, which are goals of the for “Avoid some game state”, are necessary, distinct goal forms worth considering by game designers. The argument depends on demonstrating that a multi-player game must contain such anti-goals or collapse to a single player game played by multiple people but otherwise disconnected.

In a broader context, the idea here is to get a foot in the door for anti-goals as rules which can still do the work of a goal, which is to give meaning to choices and actions in an interactive system. An open question is whether such anti-goals are useful for single player games, whether they are useful but only in conjunction with game-terminating goals, or whether, though useful, we can always find a related normal goal which is superior from a design point of view. Hopefully, this essay provides a good jumping off point for those discussions.