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Mixed Logical and Probabilistic Reasoning for Planning and Explanation Generation in Robotics
The architecture described in this paper couples the non-monotonic logical reasoning capabilities of a declarative language with probabilistic belief revision, enabling robots to represent and reason with qualitative and quantitative descriptions of knowledge and degrees of belief.
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