ARTIFICIAL INTELLIGENCE & EXPERT SYSTEMS


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About The Book

Book contain Concept of What is Artificial Intelligence? AI Technique Level of the ModelProblem Spaces and Search: Defining the Problem as a State Space Search Production Systems Problem Characteristics Production System Characteristics Issues in the Design of Search  Programs. Heuristic Search Techniques: Generate-andTest Hill Climbing Best-first Search Problem Reduction Constraint Satisfaction Means-end Analysis Knowledge Representation: Representations and Mappings Approaches to Knowledge Representation Using Predicate Logic: Representing Simple Facts in Logic Representing Instance and ISA Relationships Computable Functions and Predicates Resolution Natural Deduction.Using Rules: Procedural Versus Declarative Knowledge Logic Programming Forward Versus Backward Reasoning Matching Control Knowledge.Symbolic Reasoning Under Uncertainty: Introduction to Nonmonotonic Reasoning Logics for Nonmonotonic Reasoning Implementation Issues Augmenting a Problem-solver Depth-first Search Breadthfirst Search.Weak and Strong Slot-and-Filler Structures: Semantic Nets Frames Conceptual Dependency  Scripts CYC.
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