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AD-304 · Artificial Intelligence/Official Syllabus

Artificial Intelligence (AD-304) - Official Syllabus

1
Unit 1

Fundamental of Artificial Intelligence

  • Fundamental of Artificial Intelligence
  • history
  • motivation and need of AI
  • Production systems
  • Characteristics of production systems
  • goals and contribution of AI to modern technology
  • search space
  • different search techniques: hill Climbing
  • Best first Search
  • heuristic search algorithm
  • A* and AO* search techniques etc
2
Unit 2

Knowledge Representation

  • Knowledge Representation
  • Problems in representing knowledge
  • knowledge representation using propositional and predicate logic
  • comparison of propositional and predicate logic
  • Resolution
  • refutation
  • deduction
  • theorem proving
  • inferencing
  • monotonic and non-monotonic reasoning
3
Unit 3

Probabilistic Reasoning and Structured Knowledge

  • Probabilistic reasoning
  • Baye's theorem
  • semantic networks
  • scripts
  • schemas
  • frames
  • conceptual dependency
  • forward and backward reasoning
4
Unit 4

Game Playing, Planning, and NLP

  • Game playing techniques like minimax procedure
  • alpha-beta cut-offs etc
  • planning
  • Study of the block world problem in robotics
  • Introduction to understanding
  • natural language processing (NLP)
  • Components of NLP
  • application of NLP to design expert systems
5
Unit 5

Expert Systems

  • Expert systems (ES) and its Characteristics
  • requirements of ES
  • components and capability of expert systems
  • Inference Engine Forward & backward Chaining
  • Expert Systems Limitation
  • Expert System Development Environment
  • technology
  • Benefits of Expert Systems

Reference Books

  • Foundations of Artificial Intelligence and Expert Systems — Janakiraman, K. Sarukesi — Macmillan Series in Computer Science
  • Introduction to Artificial Intelligence and Expert Systems — W. Patterson — Prentice Hall of India
  • Artificial Intelligence: A Modern Approach — Russel, S., Norvig, P. — Pearson — 4th Edition, 2020
  • Artificial Intelligence — Elaine Rich, Kevin Knight, Shivashankar B. Nair — McGraw-Hill International
  • Artificial Intelligence: A New Synthesis — Nils J. Nilsson — Morgan-Kauffman
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