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Autonomous acquisition of cooperative behavior based on a theory of mind using parallel genetic network programming

ARTIFICIAL LIFE AND ROBOTICS 2011年第2期16卷 157-161页

作者： Minoya, Kenichi Arita, Takaya Omori, Takashi Nagoya Univ Grad Sch Informat Sci Chikusa Ku Nagoya Aichi 4648601 Japan Tamagawa Univ Coll Engn Tokyo Japan

Understanding others as having intentional states, such as beliefs and desires, is called the theory of mind (ToM). To clarify the mechanism of the autonomous acquisition of cooperative behavior based on the ToM, we constructed a functional model of the brain based on the functional parts combination (FPC) model. This model consists of a set of functional parts and activation signals specifying selective activated patterns, and activated modules can be executed in parallel based on the flow of control tokens. The module network and activation signals can be acquired by the evolutionary computation techniques used in genetic network programming and the genetic algorithm, respectively. We used a hunter task as the task to be solved by agents, and encoded inherent activation signals into the genome as a first step. The result of a computer simulation shows the emergence of the pattern of the functional parts for processing the ToM through evolution characterized by punctuated equilibrium.

关键词： functional model of the brain Theory of mind Cooperation Evolution Genetic network programming

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Autonomous acquisition of cooperative behavior based on a theory of mind using parallel Genetic Network Programming

Autonomous acquisition of cooperative behavior based on a th...

引用

16th International Symposium on Artificial Life and Robotics (AROB 16th '11)

作者： Minoya, Kenichi Arita, Takaya Omori, Takashi Nagoya Univ Grad Sch Informat Sci Chikusa Ku Furo Cho Nagoya Aichi 4648601 Japan Tamagawa Univ Coll Engn Machida Tokyo 1948610 Japan

ISBN: (纸本)9784990288051

Understanding of others as having intentional states such as beliefs and desires is called Theory of Mind (ToM). To clarify the mechanism of the autonomous acquisition of cooperative behavior based on the ToM, we constructed a functional model of the brain based on the functional Parts Combination (FPC) model. This model consists of a set of functional parts and activation signals specifying selective activated patterns, and activated modules can be executed in parallel based on the flow of control tokens. The module network and activation signals can be acquired by the evolutionary computation techniques used in the Genetic Network Programming and Genetic Algorithm, respectively. We use a hunter task as a task to be solved by the agents, and encode inherent activation signals into the genome as a first step. The result of computer simulation shows an emergence of the pattern of the functional parts for processing ToM through evolution characterized by punctuated equilibrium.

关键词： functional model of the brain Theory of Mind Cooperation Evolution Genetic Network Programming

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