[PDF] CS8691 Artificial Intelligence (AI) 2017 Regulation Syllabus and Notes for Anna University Students

Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents–Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.

Problem solving Methods - Search Strategies- Uninformed - Informed - Heuristics - Local SearchAlgorithms and Optimization Problems - Searching with Partial Observations - ConstraintSatisfaction Problems – Constraint Propagation - Backtracking Search - Game Playing - OptimalDecisions in Games – Alpha - Beta Pruning - Stochastic Games

First Order Predicate Logic – Prolog Programming – Unification – Forward Chaining-BackwardChaining – Resolution – Knowledge Representation - Ontological Engineering-Categories andObjects – Events - Mental Events and Mental Objects - Reasoning Systems for Categories -Reasoning with Default Information

Architecture for Intelligent Agents – Agent communication – Negotiation and Bargaining –Argumentation among Agents – Trust and Reputation in Multi-agent systems.

AI applications – Language Models – Information Retrieval- Information Extraction – NaturalLanguage Processing - Machine Translation – Speech Recognition – Robot – Hardware –Perception – Planning – Moving