| Revista: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000381260 |
| ISSN: | 1405-5546 |
| Autores: | Alvarado, Matías1 Yee Rendón, Arturo1 Cocho, Germinal2 |
| Instituciones: | 1Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados, México, Distrito Federal. México 2Universidad Nacional Autónoma de México, Instituto de Física, México, Distrito Federal. México |
| Año: | 2014 |
| Periodo: | Oct-Dic |
| Volumen: | 18 |
| Número: | 4 |
| Paginación: | 693-708 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | Baseball is a top strategic collective game that challenges the team manager's decision-making. A classic Nash equilibrium applies for non-cooperative games, while a Kantian equilibrium applies for cooperative ones. We use both Nash equilibrium (NE) and Kantian 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 variation 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 team performance is strengthened |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Programación, Simulación de juegos, Estrategias de cooperación, Equilibrio de Nash, Equilibrio Kantiano, Beisbol |
| Keyword: | Computer science, Programming, Game simulation, Cooperative strategies, Nash equilibrium, Kantian equilibrium, Baseball |
| Texto completo: | Texto completo (Ver HTML) |
