Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning spatial and physical reasoning reasoning about knowledge and belief temporal action logics and nonmonotonic causal logic. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation satisfiability solvers description logics constraint programming conceptual graphs nonmonotonic reasoning model-based problem solving and Bayesian networks. ![]() This handbook is organized into three parts. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. ![]() Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI).
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