{"_id":{"_str":"51f734b159ced8df44001660"},"__v":30,"authorIDs":["545783452abc8e9f3700049c"],"author_short":["Jaśkowski, W.","Krawiec, K.","Wieloch, B."],"bibbaseid":"jakowski-krawiec-wieloch-evolvingstrategyforaprobabilisticgameofimperfectinformationusinggeneticprogramming-2008","bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Wojciech"],"propositions":[],"lastnames":["Jaśkowski"],"suffixes":[]},{"firstnames":["Krzysztof"],"propositions":[],"lastnames":["Krawiec"],"suffixes":[]},{"firstnames":["Bartosz"],"propositions":[],"lastnames":["Wieloch"],"suffixes":[]}],"title":"Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming","journal":"Genetic Programming and Evolvable Machines","abstract":"Abstract We provide the complete record of methodology that let us evolve BrilliAnt, the winner of the Ant Wars contest. Ant Wars contestants are virtual ants collecting food on a grid board in the presence of a competing ant. BrilliAnt has been evolved through a competitive one-population coevolution using genetic programming and fitnessless selection. In this paper, we detail the evolutionary setup that lead to BrilliAnt's emergence, assess its direct and indirect human-competitiveness, and describe the behavioral patterns observed in its strategy.","pages":"281-294","volume":"9","number":"4","url":"http://www.cs.put.poznan.pl/wjaskowski/pub/papers/jaskowski08evolving.pdf","year":"2008","bibtex":"@article{ jaskowski08evolving,\n author = {Wojciech Jaśkowski and Krzysztof Krawiec and Bartosz Wieloch},\n title = {Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming},\n journal = {Genetic Programming and Evolvable Machines}, \n abstract = {Abstract We provide the complete record of methodology that let us evolve BrilliAnt, the winner of the Ant Wars contest. Ant Wars contestants are virtual ants collecting food on a grid board in the presence of a competing ant. BrilliAnt has been evolved through a competitive one-population coevolution using genetic programming and fitnessless selection. In this paper, we detail the evolutionary setup that lead to BrilliAnt's emergence, assess its direct and indirect human-competitiveness, and describe the behavioral patterns observed in its strategy.},\n pages = {281-294},\n volume = {9},\n number = {4},\n url = {http://www.cs.put.poznan.pl/wjaskowski/pub/papers/jaskowski08evolving.pdf} ,\n year = {2008}\n}\n\n\n","author_short":["Jaśkowski, W.","Krawiec, K.","Wieloch, B."],"key":"jaskowski08evolving","id":"jaskowski08evolving","bibbaseid":"jakowski-krawiec-wieloch-evolvingstrategyforaprobabilisticgameofimperfectinformationusinggeneticprogramming-2008","role":"author","urls":{"Paper":"http://www.cs.put.poznan.pl/wjaskowski/pub/papers/jaskowski08evolving.pdf"},"downloads":0,"html":""},"bibtype":"article","biburl":"http://data.bibbase.org/keyword/games/?format=bibtex","downloads":0,"keywords":[],"search_terms":["evolving","strategy","probabilistic","game","imperfect","information","using","genetic","programming","jaśkowski","krawiec","wieloch"],"title":"Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming","title_words":["evolving","strategy","probabilistic","game","imperfect","information","using","genetic","programming"],"year":2008,"dataSources":["fJn5b7pyJSKrPNRys"]}