CS8691 – NOTES & QP
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| SEMESTER QP | CLICK HERE |
CS8691 – SYLLABUS
UNIT I INTRODUCTION
Introduction–Definition — Future of Artificial Intelligence — Characteristics of Intelligent Agents–Typical Intelligent Agents — Problem Solving Approach to Typical AI problems.
UNIT II PROBLEM SOLVING METHODS
Problem solving Methods — Search Strategies- Uninformed — Informed — Heuristics — Local Search Algorithms and Optimization Problems — Searching with Partial Observations — Constraint Satisfaction Problems — Constraint Propagation — Backtracking Search — Game Playing — Optimal Decisions in Games — Alpha — Beta Pruning — Stochastic Games
UNIT III KNOWLEDGE REPRESENTATION
First Order Predicate Logic — Prolog Programming — Unification — Forward Chaining-Backward Chaining — Resolution — Knowledge Representation — Ontological Engineering-Categories and Objects — Events — Mental Events and Mental Objects — Reasoning Systems for Categories —
Reasoning with Default Information
UNIT IV SOFTWARE AGENTS
Architecture for Intelligent Agents — Agent communication — Negotiation and Bargaining —
Argumentation among Agents — Trust and Reputation in Multi-agent systems.
UNIT V APPLICATIONS
AI applications — Language Models — Information Retrieval- Information Extraction — Natural Language Processing — Machine Translation — Speech Recognition — Robot — Hardware —
Perception — Planning — Moving