DocumentCode
579594
Title
From competition to cooperation: Co-evolution in a rewards continuum
Author
Ashlock, Daniel ; Ashlock, Wendy ; Samothrakis, Spyridon ; Lucas, Simon ; Lee, Colin
Author_Institution
Dept. of Math. & Stat., Univ. of Guelph, Guelph, ON, Canada
fYear
2012
fDate
11-14 Sept. 2012
Firstpage
33
Lastpage
40
Abstract
In this study the hypothesis that zero-sum (i.e strictly competitive) games are more difficult targets for co-evolution than non-zero-sum (i.e. games that are not strictly competitive nor strictly cooperative) games is examined. Our method is to compare the co-evolutionary behavior of a three move zero-sum game (rock paper scissors) with that of a three move non-zero-sum game (coordination prisoner´s dilemma) as well as with intermediate games obtained using weighted averages of the games´s payoff matrices. The games are compared by examining the way use of moves evolves, by using transitivity measures on evolved agents, by estimating the complexity of the agents and by checking for non-local adaptation. Two different agent representations, finite state machines with 8 and 64 states, are used. Unexpectedly, these two representations are found to have large, qualitative differences. The results support the hypothesis that co-evolving good strategies for zero-sum games is more difficult than for non-zero-sum games. Many of the measurements used to compare different games are found to exhibit a nonlinear responses to the change in payoff matrix.
Keywords
finite state machines; game theory; matrix algebra; multi-agent systems; agent complexity; agent representations; co-evolutionary behavior; competition; cooperation; coordination prisoner dilemma; evolved agents; finite state machines; games payoff matrices; intermediate games; moves evolves; nonlocal adaptation; nonzero-sum games; rewards continuum; rock paper scissors; three move zero-sum game; transitivity measures; Complexity theory; Entropy; Game theory; Games; Sociology; Statistics; Transient analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games (CIG), 2012 IEEE Conference on
Conference_Location
Granada
Print_ISBN
978-1-4673-1193-9
Electronic_ISBN
978-1-4673-1192-2
Type
conf
DOI
10.1109/CIG.2012.6374135
Filename
6374135
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