CS8691 Artificial Intelligence Notes
Anna University CS8691 Artificial Intelligence Notes, 2 marks with answers, Question Bank with answers
CS8691 Artificial Intelligence
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
2017 Regulation
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2013 Regulation
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