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A Game-Theoretic Memory Mechanism for  (Make Corrections)  
Coevolution Sevan G. Ficici and Jordan B. Pollack Department of Computer...



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Abstract: One problem associated with coevolutionary algorithms is that of forgetting, where one or more previously acquired traits are lost only to be needed later. We introduce a new coevolutionary memory mechanism to help prevent forgetting that is built upon game-theoretic principles, specifically Nash equilibrium. This "Nash memory" mechanism has the following properties: 1) It accumulates a collection of salient traits discovered by search, and represents this collection as a mixed strategy. ... (Update)

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BibTeX entry:   (Update)

@misc{ ficici-gametheoretic,
  author = "Coevolution Sevan Ficici",
  title = "A Game-Theoretic Memory Mechanism for",
  url = "citeseer.ist.psu.edu/662535.html" }
Citations (may not include all citations):
2138   Genetic Algorithms in Search (context) - Goldberg - 1989
309   Game Theory (context) - Fudenberg, Tirole - 1998
93   morphology and behavior by competition (context) - Sims
41   coevolution and the game of tag (context) - Reynolds
35   New methods for competitive co-evolution - Rosin, Belew - 1997
23   Coevolutionary dynamics in a minimal substrate - Watson, Pollack - 2001
20   Challenges in coevolutionary learning: Arms-race dynamics - Ficici, Pollack - 1998
12   Co-evolving predator and prey robots: Do `arm races' arise i.. - Nolfi, Floreano - 1998
6   The dominance tournament method of monitoring progress in co.. - Stanley, Miikkulainen - 2002
5   An Introduction to Linear Programming and Game Theory (context) - Thie - 1988
4   A game-theoretic investigation of selection methods used in .. - Ficici, Melnik et al. - 2000
3   Tracking the red queen: Measurments of adaptive progress in .. (context) - Cli, Miller - 1995
1   th Conf (context) - Brooks, Maes et al. - 1994

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Co-evolutionary Learning: Machines and Humans Schooling Together - Sklar (1998)   (Correct)
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