Naoki Hanada

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We present a method to acquire rules for agent's behavior, where continuous numeric percepts are classified into categories by fuzzy ART and fuzzy Q-learning is employed to acquire rules. To make fuzzy ART be suitable to fuzzy Q-learning, we modify fuzzy ART such that it selects some categories for a percept vector and returns them with their fitness(More)
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