Probabilistic reasoning in intelligent systems: networks of plausible inference
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50 years of artificial intelligence
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50 years of artificial intelligence
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SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
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This paper proposes and discusses a modeling framework for embodied anticipatory behavior systems. This conceptual and theoretical framework is quite general and aims to be a, quite preliminary, step towards a general theory of cognitive adaptation to the environment of natural intelligent systems and to provide a possible approach to develop new more autonomous artificial systems. The main purpose of this discussion outline is to identify at least a few of the issues we have to cope with, and some of the possible methods to be used, if we aim to understand from a rigorous standpoint the dynamics of embodied adaptive learning systems both natural and artificial.