Abstract
Knowledge representation and reasoning lies at the heart of artificial intelligence research and modern information technology. The highly ambitious goal of the field is to provide computational methods for effectively storing, retrieving, and exploiting human knowledge. It includes representing and reasoning about beliefs, goals, preferences, and actions; it includes models of argumentation, belief change, merging, inconsistency handling, and nonmonotonic reasoning; it also covers topics such as time, space, motion, ontologies, and building useful knowledge-based systems. The Knowledge Representation (KR) conferences have established themselves as the leading forum for timely, in-depth presentation of progress in the theory and principles underlying the representation and computational manipulation of knowledge.
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