Syllabus
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Course Code: EI-OE-402 Course Name: Open Elective- V - (i) Artificial Intelligence |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Introduction: History, the turning test, overview of AI applications, problem & problem spaces, problems characteristics. | |
| 2 | Knowledge Representation Logic: Proportional & first order prediction logic, inference rules, resolution limitation of logic. Production system: Definition & history, examples of search in production system, advantages. |
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| 3 | Search: Informal and informal, algorithms of depth 1st, breadth 1st, hill climbing, best 1st search; Game playing: minimax search, alpha and beta pruning, forward and backward reasoning. |
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| 4 | Expert system: Introduction & examples, architecture (rule based system), development, knowledge engineering process, limitations. | |
