Introduction to artificial intelligence / (Record no. 6889)
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
|---|---|
| fixed length control field | 120219s2011 enka b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2011923216 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780857292988 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0857292986 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Sirsi) u7990 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EG-CaNU |
| Transcribing agency | EG-CaNU |
| Modifying agency | EG-CaNU |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | ncode |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ertel, Wolfgang. |
| 9 (RLIN) | 14433 |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to artificial intelligence / |
| Statement of responsibility, etc. | Wolfgang Ertel.. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | London ; |
| -- | New York : |
| Name of publisher, distributor, etc. | Springer, |
| Date of publication, distribution, etc. | c2011. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 316 p. : |
| Other physical details | ill. (some col.) ; |
| Dimensions | 24 cm. |
| 490 0# - SERIES STATEMENT | |
| Series statement | Undergraduate topics in computer science |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references (p. 305-310) and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction -- 2 Propositional Logic -- 3 First-order Predicate Logic -- 4 Limitations of Logic -- 5 Logic Programming with PROLOG -- 6 Search, Games and Problem Solving -- 7 Reasoning with Uncertainty -- 8 Machine Learning and Data Mining -- 9 Neural Networks -- 10 Reinforcement Learning -- 11 Solutions for the Exercises. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The ultimate aim of artificial intelligence (A.I.) is to understand intelligence and to build intelligent software and robots that come close to the performance of humans. On their way towards this goal, A.I. researchers have developed a number of quite different subdisciplines. This concise and accessible Introduction to Artificial Intelligence supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The textbook presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. |
| 596 ## - | |
| -- | 1 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 9 (RLIN) | 1994 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Main library | Main library | General Stacks | 01/26/2020 | AHRA-P | 2 | 006.3 / ER.I 2011 | 011664 | 11/14/2022 | 11/07/2022 | 1 | 11/24/2019 | Books |