On Tuesday, it was just me and Ian at the design meeting. We played a several iterations of my new Space Port game. We took it from a bunch of clunky mechanics and turned it into something that was interesting and playable. It still has a lot of work to go, though. Besides that, we also experimented with some new rules for Monkey Lab intended to reduce the chaos in the game. That led us into a discussion about what chaos is, why it exists, and why some games have it and others don’t.We defined chaos as the feeling a player has when he has little to no control over significant changes in the game. This can come into play when your opponents mess with neutral playing pieces, as in Wiz-War, or your playing pieces, as in Wiz-War. In Fluxx this occurs a lot, and you might as well not even pay attention when it isn’t your turn because the game will have changed dramatically by the time yours starts again. Consider yourself lucky in either of these games if your plans haven’t been entirely disintegrated after one round.
Chaos is something that can be amplified when the number of players increase. In a two player game, you have one guy who is always doing his best to slow you down. In a six player game, you have five guys that can all potentially choose to work against you. Even when there are not direct attacks possible in the game, multiple players simply means that the percentage of choices you make in the game is smaller.
Werewolf is the perfect example of demonstrating the chaos/player relationship. In a hundred-player game of Werewolf, the results are very chaotic. Your vote to kill a villager is almost insignificant. The odds that you get what you want are very small. Once the game gets down to a small handful of people, you feel much more in control because there are less people to convince and less opposing arguments to overcome.
RoboRally is another game of chaos. The chaos exhibited here is in the form of unexpected and uncontrollable outcomes. As a player, you do have a lot of control over where you want your robot to end up on the board. However, one unplanned bump from another robot will make the rest of your moves nearly random. Planning for this, players can choose to “take the long way” to the goal and avoid interactions with other players thereby reducing the amount of chaos. So, with RoboRally, players can control the amount of chaos they want to encounter. They are effectively “in control” with their risk management plans.
My game Monkey Lab has a similar problem, except it does not have a strong “risk management” solution to the chaos. Your plans can be messes up no matter what you do. The solutions we came up with allows for players to take actions such that they can avoid chaos in the short term. Chaos will still exist, but players should feel more in control of whether or not they want to subject themselves to it.
Chaos is something I never really though about until now, and I plan on being more aware of it. Chaos can exist, but the key is all about keeping your game under tolerable levels of it.