Contemporary approaches to knowledge representation - Declarative schemas, semantic schemas, situational frames, action frames, inference in semantic networks. Methods of informed search and problem-solving in state space. Synthesis and analysis of decision-making processes under uncertainty. Problem-solving and activity planning using propositional fuzzy logic and first-order predicate fuzzy logic. Approaches to expert knowledge acquisition. Resolution principle in propositional fuzzy logic. Development of diagnostic expert systems using AND/OR graphs and production rules. Plausible inference, intensional approach, and extensional approach. Bayesian method, Dempster-Shafer method, and multi-valued logic. Design of expert systems under uncertainty. Contemporary approaches to control and decision-making based on expert systems with uncertainty.
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