Syllabus
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Course Code: ELECTIVE-IV Course Name: ARTIFICIAL INTELLIGENCE |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Introduction to Artificial Intelligence (AI), Importance of AI, AI and its Related Field, AI Techniques, Criteria for success. Problem Space and Search: Problem as a State Space Search, Production System and its Characteristics, Issues in the Design of the Search Problem. | |
| 2 | Heuristic search techniques: Generate and test, hill climbing, best first search technique, problem reduction, constraint satisfaction. Knowledge Representation: Definition and Importance of Knowledge, Knowledge Representation, Various Approaches Used in Knowledge Representation, Issues in Knowledge Representatio | |
| 3 | Using Predicate Logic: Representing Simple Facts in Logic, Representing Instances and is-a Relationship, Computable Function and Predicate, Natural Language Processing: Introduction Syntactic Processing, Semantic Processing, Discourse and Pragmatic Processing. | |
| 4 | Learning: Introduction Learning, Rote Learning, learning by Taking Advice, learning in Problem Solving, learning from Example-Induction, Explanation Based Learning. Expert System: Introduction, Representing Using Domain Specific Knowledge, Expert System Shells. | |
