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Artificial Intelligence
Practical project ideas and implementations for hands-on learning
EXPERT SYSTEMS
Application of Expert Systems
Expert System
Expert System Characteristics
Expert System Features
Expert System Shells
Explanation - Expert System
Inference Engine
Knowledge Acquisition
Knowledge Base (Representing and Using Domain Knowledge)
INTRODUCTION TO AI AND PRODUCTION SYSTEMS
Production System
What is Artificial Intelligence (AI)?
KNOWLEDGE INFERENCE
Framework of Knowledge Representation (Poole 1998)
Issues in Knowledge Representation
Knowledge Representation
Knowledge Representation Schemes
KR Using Predicate Logic
KR Using Rules
PLANNING AND MACHINE LEARNING
Bayesian Networks and Certainty Factors
Certainty Factors in Rule-Based Systems
Dempster-Shafer Theory (DST)
Fuzzy Logic
Planning and Machine Learning
Probability and Bayes Theorem
Statistical Reasoning
Symbolic Reasoning
REPRESENTATION OF KNOWLEDGE
AI Resolution: Definition and Principle
Game Playing
Iterative Deepening
Knowledge Representation
Predicate Calculus
Predicate Logic
Structured Representation of Knowledge
