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A Nearest Hyperrectangle Learning Method
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IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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An Algorithm for Dual Transformation in First-Order Logic
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IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Dynamic Social Knowledge: The Timing Evidence
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
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RoboCup-99: Robot Soccer World Cup III
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AISC '00 Revised Papers from the International Conference on Artificial Intelligence and Symbolic Computation
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This paper presents a generic model for a cognitive agent based on the hypothesis that the cognitive activity has three main characteristics: self-organization, evolutionary nature and history dependence. According to this model, a cognitive agent presents three levels: reactive, instinctive and cognitive. Each level, together with its lower levels, is intended to model a complete agent, each new level just increasing the behavior complexity. The generic model is instantiated into a computational architecture that integrates connectionist, evolutionary computation and symbolic approaches.