Artificial Intelligence Syllabus CS6659

Artificial Intelligence Syllabus CS6659 Regulation 2013 Anna University free download. CS6659 Syllabus pdf free download.

UNIT I INTRODUCTION TO Al AND PRODUCTION SYSTEMS Artificial Intelligence Syllabus

Introduction to AI-Problem formulation, Problem Definition -Production systems, Control strategies, Search strategies. Problem characteristics, Production system characteristics -Specialized production system- Problem solving methods – Problem graphs, Matching, Indexing and Heuristic functions -Hill Climbing-Depth first and Breath first, Constraints satisfaction – Related algorithms, Measure of performance and analysis of search algorithms.

UNIT II REPRESENTATION OF KNOWLEDGE CS6659 Syllabus

Game playing – Knowledge representation, Knowledge representation using Predicate logic, Introduction to predicate calculus, Resolution, Use of predicate calculus, Knowledge representation using other logic-Structured representation of knowledge.

UNIT III KNOWLEDGE INFERENCE Artificial Intelligence Syllabus

Knowledge representation -Production based system, Frame based system. Inference – Backward chaining, Forward chaining, Rule value approach, Fuzzy reasoning – Certainty factors, Bayesian Theory-Bayesian Network-Dempster – Shafer theory.

UNIT IV PLANNING AND MACHINE LEARNING CS6659 Syllabus

Basic plan generation systems – Strips -Advanced plan generation systems – K strips -Strategic explanations -Why, Why not and how explanations. Learning- Machine learning, adaptive Learning.

UNIT V EXPERT SYSTEMS Artificial Intelligence Syllabus

Expert systems – Architecture of expert systems, Roles of expert systems – Knowledge Acquisition –Meta knowledge, Heuristics. Typical expert systems – MYCIN, DART, XOON, Expert systems shells.