Genocide Automation, which was featured at Sense of Wonder Night (an indie game showcase at the Tokyo Game Show), is less a game than an exploration of flocking behavior and cellular automata.
Two swarms appear at opposite corners of the play space, and attempt to destroy each other (it's not entirely clear what the combat algorithm is). Individual motes in the swarm obey some set of flocking algorithms that seem to be represented by the data displayed in the right column, though it's hard to know what that's showing, since it's in Japanese. Both sides "learn" from failure, modifying algorithms next time to try something else -- I'm not clear whether evolutionary learning algorithms are used, or whether behavior modification is simply random.
There's very little you can do to affect the system while it's operating: left-clicking on the screen will influence the orange motes to move toward that location, while right-clicking will have them move away. However, it's hard to see whether and when this will be beneficial, so there's little on the order of real strategy.
Still, it's an interesting system to play with.
Excerpt from readme
I'm trying to muddle my way through the instructions for practice. I haven't had a chance to do the parameter explanation, but have muddled through the controls. There is a note that the title screen and in game menu don't do anything.
Key controls:
Z - Extend time limit
X - Cause a victory at that time
C - Rematch (?)
Space - Pause (Note that the menu which is displayed doesn't mean anything)
Q, W - Cycle the display on the right side
A+S+D - Reset (Replaces both teams)
Esc - Quit
Mouse controls:
Left button - Move towards the cursor if no enemies nearby. If there are enemies within the displayed rectangle, supporter strength estimated 5 times higher (becomes warlike)
Right mouse button - Move away from the cursor if no enemies nearby. If there are enemies nearby, supporter strength estimated 5 times less (becomes unmotivated)