CS8691 Artificial Intelligence
CS8691 Artificial Intelligence MCQ Multi Choice Questions, Lecture Notes, Books, Study Materials, Question Papers, Syllabus Part-A 2 marks with answers CS8691 Artificial Intelligence MCQ Multi Choice Questions, Subjects Important Part-B 16 marks Questions, PDF Books, Question Bank with answers Key And MCQ Question & Answer, Unit Wise Important Question And Answers, One Mark Question With Answers, Choose The Best Answer.
Download link is provided for Students to download the Anna University CS8691 Artificial Intelligence MCQ Multi Choice Questions, Lecture Notes, Books, Study Materials, Question Papers, Syllabus Part A 2 marks with answers & Part B 16 marks Question, Question Bank with answers, MCQ Question & Answer, Unit Wise Important Question And Answers, One Mark Question With Answers, Choose The Best Answer. All the materials are listed below for the students to make use of it and score good (maximum) marks with our study materials.
Subject Details
| SEMESTER : | 06 |
| SUBJECT CODE : | CS8691 |
| SUBJECT NAME : | Artificial Intelligence |
| DEPARTMENT : | Computer Science and Engineering |
| YEAR : | Third Year (III Year) |
| REGULATION : | 2017 |
| CONTENT : | Syllabus, Lecture Notes, Important Part-A 2 Marks Questions and Important Part-B 13 & 15 Mark Questions, Previous Years Question Papers Collections and Question Banks. |
” CS8691 Artificial Intelligence MCQ Multi Choice Questions”
“ CS8691 Artificial Intelligence Lecture Notes “
“CS8691 Artificial Intelligence Important 16 marks Questions with Answers”
“ CS8691 Artificial Intelligence Important 2 marks Questions with Answers”
“ CS8691 Artificial Intelligence Important Part A & Part B Questions”
“ CS8691 Artificial Intelligence Syllabus Question Banks”
CS8691 Artificial Intelligence MCQ Multi Choice Questions, Lecture Notes & Part A & Part B Important Questions with Answers
Syllabus
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
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CS8691 Artificial Intelligence MCQ Collection
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CS8691 Artificial Intelligence Notes Collection
CS8691 Notes Collection 01 – DOWNLOAD
CS8691 Notes Collection 02 – DOWNLOAD
CS8691 Artificial Intelligence Important Questions Collection
CS8691 IMPORTANT QUESTIONS – DOWNLOAD
CS8691 Artificial Intelligence Question Papers Collection
CS8691 Last 5 Years Question Papers Collection – DOWNLOAD
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