Computational intelligence / (Record no. 3538)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04070nam a2200145 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978019568572 (pb) |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Item number | POO/C |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Poole, David |
| 245 ## - TITLE STATEMENT | |
| Title | Computational intelligence / |
| Statement of responsibility, etc. | David Poole, Alan Mackworth and Randy Goebel |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New York: |
| Name of publisher, distributor, etc. | Oxford univeristy Press, |
| Date of publication, distribution, etc. | 1998. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvi, 558 p. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1 Computational Intelligence and Knowledge<br/>1.1 What Is Computational Intelligence?<br/>1.2 Agents in the World<br/>1.3 Representation and Reasoning<br/>1.4 Applications<br/>1.5 Overview<br/>1.6 References and Further Reading<br/>1.7 Exercises<br/>2 A Representation and Reasoning System<br/>2.1 Introduction<br/>2.2 Representation and Reasoning Systems<br/>2.3 Simplifying Assumptions of the Initial RRS<br/>2.4 Datalog<br/>2.5 Semantics<br/>2.6 Questions and Answers<br/>2.7 Proofs<br/>2.8 Extending the Language with Function Symbols<br/>2.9 References and Further Reading<br/>2.10 Exercises<br/>3 Using Definite Knowledge<br/>3.1 Introduction<br/>3.2 Case Study: House Wiring<br/>3.3 Databases and Recursion .<br/>3.4 Verification and Limitations<br/>3.5 Case Study: Representing Abstract Concepts<br/>3.6 Case Study: Representing Regulatory Knowledge<br/>3.7 Applications in Natural Language Processing<br/>3.8 References and Further Reading<br/>3.9 Exercises<br/>4 Searching<br/>4.1 Why Search?<br/>4.2 Graph Searching<br/>4.3 A Generic Searching Algorithm<br/>4.4 Blind Search Strategies<br/>4.5 Heuristic Search<br/>4.6 Refinements to Search Strategies<br/>4.7 Constraint Satisfaction Problems<br/>4.8 References and Further Reading<br/>4.9 Exercises<br/>5 Representing Knowledge<br/>5.1 Introduction<br/>5.2 Defining a Solution<br/>5.3 Choosing a Representation Language<br/>5.4 Mapping from Problem to Representation<br/>5.5 Choosing an Inference Procedure<br/>5.6 References and Further Reading<br/>5.7 Exercises<br/>6 Knowledge Engineering<br/>6.1 Introduction<br/>6.2 Knowledge-Based System Architecture<br/>6.3 Meta-Interpreters<br/>6.4 Querying the User<br/>6.5 Explanation<br/>6.6 Debugging Knowledge Bases<br/>6.7 A Meta-Interpreter with Search<br/>6.8 Unification<br/>6.9 References and Further Reading<br/>6.10 Exercises<br/>7 Beyond Definite Knowledge<br/>7.1 Introduction<br/>7.2 Equality<br/>7.3 Integrity Constraints<br/>7.4 Complete Knowledge Assumption<br/>7.5 Disjunctive Knowledge<br/>7.6 Explicit Quantification<br/>7.7 First-Order Predicate Calculus<br/>7.8 Modal Logic<br/>7.9 References and Further Reading<br/>7.10 Exercises<br/>8 Actions and Planning<br/>8.1 Introduction<br/>8.2 Representations of Actions and Change<br/>8.3 Reasoning with World Representations .<br/>8.4 References and Further Reading<br/>8.5 Exercises<br/>9 Assumption-Based Reasoning<br/>9.1 Introduction<br/>9.2 An Assumption-Based Reasoning Framework<br/>9.3 Default Reasoning<br/>9.4 Abduction<br/>9.5 Evidential and Causal Reasoning<br/>9.6 Algorithms for Assumption-Based Reasoning<br/>9.7 References and. Further Reading<br/>9.8 Exercises<br/>10 Using Uncertain Knowledge<br/>10.1 Introduction<br/>10.2 Probability<br/>10.3 Independence Assumptions<br/>10.4 Making Decisions Under Uncertainty<br/>10.5 References and Further Reading<br/>10.6 Exercises<br/>11 Learning<br/>11.1 Introduction<br/>11.2 Learning as Choosing the Best Representation<br/>11.3 Case-Based Reasoning<br/>11.4 Learning as Refining the Hypothesis Space<br/>11.5 Learning Under Uncertainty<br/>11.6 Explanation-Based Learning<br/>11.7 References and Further Reading<br/>11.8 Exercises<br/>12 Building Situated Robots<br/>12.1 Introduction<br/>12.2 Robotic Systems<br/>12.3 The Agent Function<br/>12.4 Designing Robots<br/>12.5 Uses of Agent Models<br/>12.6 Robot Architectures<br/>12.7 Implementing a Controller<br/>12.8 Robots Modeling the World<br/>12.9 Reasoning in Situated Robots<br/>12.10 References and Further Reading<br/>12.11 Exercises<br/>Appendix A Glossary<br/>Appendix B The Prolog Programming Language<br/>B.l Introduction<br/>B.2 Interacting with Prolog<br/>B.3 Syntax<br/>B.4 Arithmetic<br/>B.5 Database Relations<br/>B.6 Returning All Answers<br/>B.7 Input and Output<br/>B.8 Controlling Search<br/>Appendix C Some More Implemented Systems<br/>C.l Bottom-Up Interpreters<br/>C.2 Top-Down Interpreters<br/>C.3 Constraint Satisfaction Problem Solver<br/>C.4 Neural Network Learner<br/>C.5 Partial-Order Planner . .<br/>C.6 Implementing Belief Networks<br/>C.7 Robot Controller |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | GN Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 24/06/2016 | 006.3 POO/C | P19787 | 24/06/2016 | General Books |