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LEADER 00000nam a22003974a 4500 
001    000020989297 
005    20000810214908.0 
008    990914t20002000flua     b    001 0 eng   
010    99048018 
019 1  20989297|z20989297 
020    0849313856|q(alk. paper) 
035    .b25850088 
040    DLC|beng|cDLC|dDLC 
042    pcc 
050 00 QA76.9.S63|bK59 2000 
050 00 QA76.9.S63|bK59 1999 
082 00 006.3|221 
100 1  Konar, Amit.|0http://id.loc.gov/authorities/names/
       n99255877 
245 10 Artificial intelligence and soft computing :|bbehavioral 
       and cognitive modeling of the human brain /|cAmit Konar. 
264  1 Boca Raton, Fla. :|bCRC Press,|c[2000] 
264  4 |c©2000 
300    786 pages :|billustrations ;|c24 cm +|e1 computer laser 
       disc (4 3/4 in.) 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
504    Includes bibliographical references and index. 
505 0  Ch. 1. Introduction to Artificial Intelligence and Soft 
       Computing -- Ch. 2. The Psychological Perspective of 
       Cognition -- Ch. 3. Production Systems -- Ch. 4. Problem 
       Solving by Intelligent Search -- Ch. 5. The Logic of 
       Propositions and Predicates -- Ch. 6. Principles in Logic 
       Programming -- Ch. 7. Default and Non-Monotonic Reasoning 
       -- Ch. 8. Structured Approach to Knowledge Representation 
       -- Ch. 9. Dealing with Imprecision and Uncertainty -- Ch. 
       10. Structured Approach to Fuzzy Reasoning -- Ch. 11. 
       Reasoning with Space and Time -- Ch. 12. Intelligent 
       Planning -- Ch. 13. Machine Learning Techniques -- Ch. 14.
       Machine Learning Using Neural Nets -- Ch. 15. Genetic 
       Algorithms -- Ch. 16. Realizing Cognition Using Fuzzy 
       Neural Nets -- Ch. 17. Visual Perception -- Ch. 18. 
       Linguistic Perception -- Ch. 19. Problem Solving by 
       Constraint Satisfaction -- Ch. 20. Acquisition of 
       Knowledge -- Ch. 21. Validation, Verification and 
       Maintenance Issues. 
505 8  Ch. 22. Parallel and Distributed Architecture for 
       Intelligent Systems -- Ch. 23. Case Study I: Building a 
       System for Criminal Investigation -- Ch. 24. Case Study II
       : Realization of Cognition for Mobile Robots -- Ch. 
       24[superscript +]. The Expectations from the Readers -- 
       App. A. How to Run the Sample Programs? -- App. B. 
       Derivation of the Back-propagation Algorithm -- App. C. 
       Proof of the Theorems of Chapter 10. 
520 1  "Artificial Intelligence and Soft Computing presents both 
       the traditional and the modern aspects of AI and soft 
       computing in a clear, insightful, and highly comprehensive
       style. It provides an in-depth analysis of mathematical 
       models and algorithms and demonstrates their applications 
       in real world problems."--BOOK JACKET. "It provides a 
       practical, detailed introduction that will prove valuable 
       to computer science practitioners and students as well as 
       to researchers migrating to the subject from other 
       disciplines."--BOOK JACKET. 
650  0 Soft computing.|0http://id.loc.gov/authorities/subjects/
       sh96004789 
650  0 Artificial intelligence.|0http://id.loc.gov/authorities/
       subjects/sh85008180 
650  0 Brain|0http://id.loc.gov/authorities/subjects/sh85016319
       |xComputer simulation.|0http://id.loc.gov/authorities/
       subjects/sh99005300 
907    .b25850088 
990    MARCIVE MELB 201906 
Location Call No. Status
 UniM ERC  006.3 KONA    AVAILABLE