The Parallel Nash Memory for Asymmetric Games

Oliehoek, Frans A.; de Jong, Edwin D.; Vlassis, Nikos

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The Parallel Nash Memory for Asymmetric Games

Oliehoek, Frans A.; de Jong, Edwin D.; Vlassis, Nikos

2006 • In Proc. Genetic and Evolutionary Computation Conference, Seattle, WA

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https://hdl.handle.net/10993/11053

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Abstract :

[en] Coevolutionary algorithms search for test cases as part of the search process. The resulting adaptive evaluation function takes away the need to define a fixed evaluation function, but may also be unstable and thereby prevent reliable progress. Recent work in coevolution has therefore focused on algorithms that guarantee progress with respect to a given solution concept. The Nash Memory archive guarantees monotonicity with respect to the game-theoretic solution concept of the Nash equilibrium, but is limited to symmetric games. We present an extension of the Nash Memory that guarantees monotonicity for asymmetric games. The Parallel Nash Memory is demonstrated in experiments, and its performance on general sum games is discussed.

Disciplines :

Computer science

Identifiers :

UNILU:UL-ARTICLE-2011-712

Author, co-author :

Oliehoek, Frans A.

de Jong, Edwin D.

Vlassis, Nikos ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)

Language :

English

Title :

The Parallel Nash Memory for Asymmetric Games

Publication date :

2006

Event name :

Proc. Genetic and Evolutionary Computation Conference, Seattle, WA

Event date :

2006

Main work title :

Proc. Genetic and Evolutionary Computation Conference, Seattle, WA

Pages :

337-344

Peer reviewed :

Peer reviewed

Available on ORBilu :

since 17 November 2013

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