Artificial intelligence
Author(s)
Bibliographic Information
Artificial intelligence
McGraw-Hill, c1991
2nd ed
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Note
Includes bibliographical references (p. 583-603) and indexes
Description and Table of Contents
- Volume
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ISBN 9780070522633
Description
The breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.
Table of Contents
1. What Is Artificial Intelligence? 2. Problems, Problem Spaces and Search3. Heuristic Search Techniques4. Knowledge Representation Issues5. Using Predicate Logic 6. Uncertain Reasoning7. Weak Slot-and-Filler Structures8. Strong Slot-and-Filler Structures9. Knowledge Representation Summary10. Game Playing11. Planning12. Large Knowledge-Based Systems 13. Understanding14. Natural Language Processing15. Learning16. Connectionist Models17. Perception and Action18. Conclusion
- Volume
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ordering use ISBN 9780071008945
Description
The breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge, it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.
Table of Contents
1. What Is Artificial Intelligence? 2. Problems, Problem Spaces and Search 3. Heuristic Search Techniques 4. Knowledge Representation Issues 5. Using Predicate Logic 6. Uncertain Reasoning 7. Weak Slot-and-Filler Structures 8. Strong Slot-and-Filler Structures 9. Knowledge Representation Summary 10. Game Playing 11. Planning 12. Large Knowledge-Based Systems 13. Understanding 14. Natural Language Processing 15. Learning 16. Connectionist Models 17. Perception and Action 18. Conclusion
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