DocumentCode
1795838
Title
The evolution of exploitation
Author
Ashlock, Wendy ; Tsang, Jeffrey ; Ashlock, Daniel
Author_Institution
Dept. of Biol., York Univ., Toronto, ON, Canada
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
135
Lastpage
142
Abstract
The evolution of cooperation has been much studied in the context of the game of iterated prisoner´s dilemma. This paper examines, instead, the evolution of exploitation, strategies that succeed at the expense of their opponent. Exploitation is studied when opponents are close kin, against other evolved strategies, and against arbitrary strategies. A representation for strategies, called shaped prisoner´s dilemma automata, is used to find exploitative strategies using a co-evolutionary algorithm. This representation alters both the space of strategies searched and the connectivity of that space. Eight different shapes are studied in the context of their ability to find exploitative strategies.
Keywords
automata theory; evolutionary computation; game theory; coevolutionary algorithm; cooperation evolution; exploitation stategy; iterated prisoner dilemma game; shaped prisoners dilemma automata; Automata; Context; Games; Indexes; Shape; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computational Intelligence (FOCI), 2014 IEEE Symposium on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/FOCI.2014.7007818
Filename
7007818
Link To Document