r2017 notes

CS8691 Notes Artificial Intelligence Regulation 2017 Anna University

CS8691 Notes Artificial Intelligence

CS8691 Notes Artificial Intelligence Regulation 2017 Anna University free download. Artificial Intelligence Notes CS8691 pdf free download.

OUTCOMES: CS8691 Notes Artificial Intelligence

Upon completion of the course, the students will be able to:  Use appropriate search algorithms for any AI problem
 Represent a problem using first order and predicate logic
 Provide the apt agent strategy to solve a given problem
 Design software agents to solve a problem
 Design applications for NLP that use Artificial Intelligence.

TEXT BOOKS: CS8691 Notes Artificial Intelligence

1 S. Russell and P. Norvig, “Artificial Intelligence: A Modern Approach‖, Prentice Hall, Third
Edition, 2009.
2 I. Bratko, ―Prolog: Programming for Artificial Intelligence‖, Fourth edition, Addison-Wesley Educational Publishers Inc., 2011.

REFERENCES: CS8691 Notes Artificial Intelligence

1. M. Tim Jones, ―Artificial Intelligence: A Systems Approach(Computer Science)‖, Jones and Bartlett Publishers, Inc.; First Edition, 2008
2. Nils J. Nilsson, ―The Quest for Artificial Intelligence‖, Cambridge University Press, 2009.
3. William F. Clocksin and Christopher S. Mellish,‖ Programming in Prolog: Using the ISO Standard‖, Fifth Edition, Springer, 2003.
4. Gerhard Weiss, ―Multi Agent Systems‖, Second Edition, MIT Press, 2013. 5. David L. Poole and Alan K. Mackworth, ―Artificial Intelligence: Foundations of Computational Agents‖, Cambridge University Press, 2010.

OBJECTIVES: CS8691 Notes Artificial Intelligence

 To understand the various characteristics of Intelligent agents
 To learn the different search strategies in AI
 To learn to represent knowledge in solving AI problems
 To understand the different ways of designing software agents
 To know about the various applications of AI.

Subject name Artificial Intelligence
Short Name AI
Semester 6
Subject Code CS8691
Regulation 2017 regulation

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