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Artificial Intelligence - CS6659

Artificial Intelligence

INTRODUCTION TO Al AND PRODUCTION SYSTEMS


-:- What is Artificial intelligence(AI)?
-:- Production System

REPRESENTATION OF KNOWLEDGE


-:- Game playing
-:- Iterative Deepening
-:- Knowledge Representation
-:- Predicate Calculus
-:- Predicate Logic
-:- AI Resolution: Definition and Principle
-:- Structured Represntation of Knowledge

KNOWLEDGE INFERENCE


-:- Knowledge Representation
-:- Framework of Knowledge Representation (Poole 1998)
-:- Knowledge Representation Schemes
-:- Issues in Knowledge Representation
-:- KR Using Predicate Logic
-:- KR Using Rules

PLANNING AND MACHINE LEARNING


-:- Planning and Machine Learning
-:- Symbolic Reasoning
-:- Statistical Reasoning
-:- Probability and Bayes’ Theorem
-:- Certainty Factors in Rule-Based Systems
-:- Bayesian Networks and Certainty Factors
-:- Dempster - Shafer Theory (DST)
-:- Fuzzy Logic

EXPERT SYSTEMS


-:- Expert System
-:- Expert System Characteristics
-:- Expert System Features
-:- Knowledge Acquisition
-:- Knowledge Base (Representing and Using Domain Knowledge)
-:- Inference Engine
-:- Expert System Shells
-:- Explanation - Expert System
-:- Application of Expert Systems
Mahendra Varman Mahendra Varman Mahendra Varman Mahendra Varman Mahendra Varman

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