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Course Detail

Course Name Intelligent Systems
Course Code 15CSE352
Program B. Tech. in Computer Science and Engineering
Year Taught 2019


Unit 1

Introduction to agents – Structure of intelligent agents, Problem solving agents – Formulating problems – Overview of uninformed searching strategies, informed search methods, Game playing as search.

Unit 2

Knowledge based agent 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.

Unit 3

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

  • Russell S and Norvig P, “Artificial Intelligence – A modern approach”, Third Edition, Prentice Hall, 2009.


  • Elaine Rich, Kevin Knight and Shivashankar B. Nair, “Artificial Intelligence”, Third Edition, TMH Educations Private Limited, 2008
  • Nilsson N J, “The Quest for Artificial Intelligence”, Cambridge University Press, 2009.

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