Learning fuzzy rules from iterative execution of games

Fuzzy Tactics: A scripting game that leverages fuzzy logic as an engaging game mechanic

“…Fuzzy systems are good candidates for learning and fuzzy logic has been used to model rules that are then evolved using the player's actions as input to an evolutionary algorithm (Avery & Michalewicz, 2008). In Ishibuchi, Sakamoto, and Nakashima (2003), the authors extract data from the iterative execution of games and then learn fuzzy rules for the classifications of player actions.…”

Analysis and design of swarm-based robots using game theory

“…Since we have only two players, equations (2.16) may be simplified to [56] x where t* is the first time the states x(t) intersect a given final condition. In this case it is also assumed that the player who uses strategy 0 wants to maximize the payoff P(-), whereas the player using strategy V> wants to minimize it.…”