Simulation of Baseball Gaming by Cooperation and Non-Cooperation Strategies
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| Natura: | Artículo científico |
| Lingua: | en |
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Instituto Politécnico Nacional
2014
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| _version_ | 1876455422039162880 |
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| author | Matías Alvarado |
| author_facet | Matías Alvarado |
| contents | Simulation of Baseball Gaming by Cooperation and Non-Cooperation Strategies Matías Alvarado Arturo Yee Rendón Germinal Cocho Computación cooperation Nash equilibrium Baseball strategies cooperation and non Kantian equilibrium Baseball is a top strategic collective game that challenges the team manager’s decision-making. A c lassic Nash equilibrium applies for non-cooperative games, while a Kantian equilibrium applies for cooperative ones. We use both Nash equilibrium (NE) and Ka ntian equilibrium (KE), separate or in combination, for the team selection of strategies during a baseball match: as soon as the selection of strategies by NE or KE carries a team to stay match loosing, a change to KE or NE is introduced. From this variati on of selection of strategies the team that is losing tends to close or overcome the score with respect to the team with advantage according to the results from computer simulations. Hence, combining Nash selfish-gaming strategies with Kantian collaboration-gaming strategies, a baseball te am performance is strengthened. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532985005 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.18 |
| format | Artículo científico |
| id | redalyc_61532985005 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Simulation of Baseball Gaming by Cooperation and Non-Cooperation Strategies Matías Alvarado Computación cooperation Nash equilibrium Baseball strategies cooperation and non Kantian equilibrium Simulation of Baseball Gaming by Cooperation and Non-Cooperation Strategies Matías Alvarado Arturo Yee Rendón Germinal Cocho Computación cooperation Nash equilibrium Baseball strategies cooperation and non Kantian equilibrium Baseball is a top strategic collective game that challenges the team manager’s decision-making. A c lassic Nash equilibrium applies for non-cooperative games, while a Kantian equilibrium applies for cooperative ones. We use both Nash equilibrium (NE) and Ka ntian equilibrium (KE), separate or in combination, for the team selection of strategies during a baseball match: as soon as the selection of strategies by NE or KE carries a team to stay match loosing, a change to KE or NE is introduced. From this variati on of selection of strategies the team that is losing tends to close or overcome the score with respect to the team with advantage according to the results from computer simulations. Hence, combining Nash selfish-gaming strategies with Kantian collaboration-gaming strategies, a baseball te am performance is strengthened. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532985005 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.18 |
| title | Simulation of Baseball Gaming by Cooperation and Non-Cooperation Strategies |
| topic | Computación cooperation Nash equilibrium Baseball strategies cooperation and non Kantian equilibrium |
| url | https://www.redalyc.org/articulo.oa?id=61532985005 |