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Course Detail

Course Name Intelligent Systems
Course Code 18CA455
Program M. C. A., M. C. A. ( Offered at Mysuru Campus )
Credits Three
Year Taught 2018
Degree Postgraduate (PG)
School School of Arts and Sciences, School of Engineering
Campus Kochi, Mysuru, Amritapuri

Syllabus

Introduction to Agents:Structure of Intelligent Agents – Problem Solving Agents- Formulating Problems

Overview of Uninformed Searching Strategies – Informed Search Methods. Game Playing as Search. Knowledge Based Agents Representation – Logics- First Order Logic – Reflex Agents Building a Knowledge Base – General Ontology -Inference – Logical Recovery. Planning Agents – Planning in Situational Calculus – Representation of Planning – Partial Order Planning- Practical Planners – Conditional Planning.

Agents Acting Under Uncertainty – Probability Notation – Bayes’ Rule. Probabilistic Reasoning – Belief Networks – Utility Theory Decision Network- Value of Information- Learning Agents – Learning from Observations –Knowledge in Learning -Case Studies on Applications of AI.

Text Books

  1. Stuart Russell and Peter Norvig, “Artificial Intelligence – A Modern Approach”, Third Edition, Prentice Hall, 2009.
  2. Elaine Riche, Kevin Knight and Shivashankar B. Nair, “Artificial Intelligence”, Third Edition, TMH Educations Pvt. Ltd., 2008.
  3. Nils J. Nilsson, “The Quest for Artificial Intelligence”, Second Edition, Cambridge University Press, 2009

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