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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