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...analyze the action patterns of game players. the game players’ patterns are
modeled using fsm (finite state machine). the result obtained by analyzing the data on game players is used for creating npcs
(non-player characters) which show new action patterns by altering the fsm defined previously. this characters are...
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...analyze the action patterns of game players. the game players’ patterns are
modeled using fsm (finite state machine). the result obtained by analyzing the data on game players is used for creating game-agents
which show new action...
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...the immer- sion in digital games. among the several ai approaches, player modeling is becoming an important one...them. we also present several game platforms that can be used by player modeling and ai researchers. we believe...
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...we demonstrate that action video game play enhances subjects' ability in two tasks thought to indicate the number of items that can be apprehended. using an enumeration task, in which...about two items in video game players (vgps) than in non-video game players (nvgps). a following control study...
Journal: Cognition
, vol. 101, no. 1, pp. 217-245, 2006
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...been developed to build intelligent game players. coevolution has proven to be successful in learning how to play games with no prior game knowledge. in this paper we...we play matches in several games between our player, a random player and one trained using standard coevolution....
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...as a new trend of game development, artificial intelligence (ai) used to be implemented by finite state machine (fsm) is being replaced by domain-knowledge-free automatic game design approaches. these training methods could achieve excellent performance as fsm and contribute to other improvements: non player character's (npc) behaviors appear...
Published in 2010.
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...for the study of social games and communications is proposed. games are simulated between cognitive players who build the opponent’s internal model and decide their next strategy...and the iterated prisoner’s dilemma game is performed. the rnn allows us to express the internal model in a geometrical shape. the...
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...machine learning techniques can be used to discover useful models automatically. these prospects are particularly...high-quality negotiation policies. the game-theoretic context in which we conducted these experiments — a three-player coalitions game with sidepayments — is considerably more...
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...making decisions problems with the use of knowledge about the adversary. we use granular computing and particularly the...them choose their action. when using this approach a player, for example white, will use all its expertise, knowledge and...
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...of a class of dynamic games where players are ra- tional, in the sense that they maximize expected payoffs given their beliefs about other players' actions, but their beliefs may...the structural parameters of the game, determine the stochastic process followed by players' actions. this model contains as a particular case the model where beliefs are in equilibrium...