Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection Export

@inproceedings{NoWa01, abstract = {When using an automatic discovery method to find a good strategy in a game, we hope to find one that performs well against a wide variety of opponents. An appealing notion in the use of evolutionary algorithms to coevolve strategies is that the population represents a set of dierent strategies against which a player must do well. Implicit here is the idea that dierent players represent dierent \dimensions" of the domain, and being a robust player means being good in many (preferably ...}, address = {San Francisco, California, USA}, author = {Noble, Jason and Watson, Richard A.}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001)}, citeulike-article-id = {1814798}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.8294}, editor = {Spector, Lee and Goodman, Erik D. and Wu, Annie and Langdon, W. B. and Voigt, Hans M. and Gen, Mitsuo and Sen, Sandip and Dorigo, Marco and Pezeshk, Shahram and Garzon, Max H. and Burke, Edmund}, keywords = {co-evolution, pareto\_coevolution, strategy}, month = {July-November}, pages = {493--500}, posted-at = {2007-10-24 10:31:46}, priority = {0}, publisher = {Morgan Kaufmann}, title = {Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.8294}, year = {2001} }

TY - CONF ID - NoWa01 L3 - citeulike-article-id:1814798 N2 - When using an automatic discovery method to find a good strategy in a game, we hope to find one that performs well against a wide variety of opponents. An appealing notion in the use of evolutionary algorithms to coevolve strategies is that the population represents a set of dierent strategies against which a player must do well. Implicit here is the idea that dierent players represent dierent \dimensions" of the domain, and being a robust player means being good in many (preferably ... AD - San Francisco, California, USA EP - 500 TI - Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection PB - Morgan Kaufmann T2 - Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001) SP - 493 KW - co-evolution KW - pareto_coevolution KW - strategy AU - Noble, Jason AU - Watson, Richard A2 - Spector, Lee A2 - Goodman, Erik A2 - Wu, Annie A2 - Langdon, WB A2 - Voigt, Hans A2 - Gen, Mitsuo A2 - Sen, Sandip A2 - Dorigo, Marco A2 - Pezeshk, Shahram A2 - Garzon, Max A2 - Burke, Edmund PY - 2001/7-11// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.8294 ER -