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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