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Evolving agents to play games is a promising technology. It can
provide entertaining opponents for games like Chess or Checkers,
matched to a human opponent as an alternative to the perfect and
unbeatable opponents embodied by current artifical intelligences.
Evolved agents also permit us to explore the strategy space of
mathematical games like Prisoner's Dilemma and Rock-Paper-Scissors.
This book summarizes, explores, and extends recent work showing
that there are many unsuspected factors that must be controlled in
order to create a plausible or useful set of agents for modeling
cooperation and conflict, deal making, or other social behaviors.
The book also provides a proposal for an agent training protocol
that is intended as a step toward being able to train humaniform
agents-in other words, agents that plausibly model human behavior.
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