CS8691 Syllabus Artificial Intelligence
CS8691 Syllabus Artificial Intelligence Regulation 2017 Anna University free download. Artificial Intelligence Syllabus CS8691 pdf free download.
UNIT I INTRODUCTION CS8691 Syllabus Artificial Intelligence Regulation
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 CS8691 Syllabus Artificial Intelligence Regulation
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 CS8691 Syllabus Artificial Intelligence Regulation
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 CS8691 Artificial Intelligence
Architecture for Intelligent Agents – Agent communication – Negotiation and Bargaining –
Argumentation among Agents – Trust and Reputation in Multi-agent systems.
UNIT V APPLICATIONS CS8691 Artificial Intelligence
AI applications – Language Models – Information Retrieval- Information Extraction – Natural Language Processing – Machine Translation – Speech Recognition – Robot – Hardware –
Perception – Planning – Moving
To understand the various characteristics of Intelligent agents
To learn the different search strategies in AI
To learn to represent knowledge in solving AI problems
To understand the different ways of designing software agents
To know about the various applications of AI.
|Subject name||Artificial Intelligence|
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