Nash equilibrium for collective strategic reasoning

  • Authors:
  • MatíAs Alvarado;Arturo Yee RendóN

  • Affiliations:
  • Computer Sciences Department, Center of Research and Advanced Studies, Av. Instituto Politécnico Nacional 2508, San Pedro Zacatenco, CP 07360 México DF, Mexico;Computer Sciences Department, Center of Research and Advanced Studies, Av. Instituto Politécnico Nacional 2508, San Pedro Zacatenco, CP 07360 México DF, Mexico

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

In multi-player games, the Nash Equilibrium (NE) profile concept deserves a team for selecting strategies during a match, so no player - except in own prejudice - individually deviates from the team selected strategy. By using NE strategy profiles, the way a baseball team increases the possibilities to a match victory is payoff-matrices-based analyzed in this paper. Each matrix entry arrange each player's strategies by regarding the ones from mates and adversaries, and posterior to a NE-profile-selection, the matrix from all players strategies can support the manager's strategic decision-making in the course of a match. A finite state machine, a formal grammar and a generator of random plays are the algorithmic fundament for this collective strategic reasoning automation. The relationships to e-commerce, social and political scopes, as well as to computing issues are reviewed.