Artificial Intelligence and Expert Systems

The book contains: Concept of What is Artificial Intelligence? AI Technique Level of the Model Problem 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 - and Test 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 Non-monotonic Reasoning Logics for Non-monotonic Reasoning Implementation Issues Augmenting a Problem-solver Depth-first Search Breadth-first Search. Weak and Strong Slot-and-Filler Structures: Semantic Nets Frames Conceptual Dependency Scripts CYC.