Screen LibraryArtificial intelligence /
Artificial Intelligence: State of the Art Report is a two-part report consisting of the invited papers and the analysis. The editor first gives an introduction to the invited papers before presenting each paper and the analysis, and then concludes with the list of references related to the study. Th...
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| Corporate Authors: | |
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| Group Author: | |
| Published: |
Pergamon Infotech,
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| Publisher Address: | Oxford [Oxfordshire] ; New York : |
| Publication Dates: | 1987. |
| Literature type: | eBook |
| Language: | English |
| Series: |
State of the art report ;
15:3 |
| Subjects: | |
| Online Access: |
http://www.sciencedirect.com/science/book/9780080341125 |
| Summary: |
Artificial Intelligence: State of the Art Report is a two-part report consisting of the invited papers and the analysis. The editor first gives an introduction to the invited papers before presenting each paper and the analysis, and then concludes with the list of references related to the study. The invited papers explore the various aspects of artificial intelligence. The analysis part assesses the major advances in artificial intelligence and provides a balanced analysis of the state of the art in this field. The Bibliography compiles the most important published material on the subject of artificial intelligence and includes all the materials cited in the invited paper and analysis references. |
| Carrier Form: | 1 online resource (xxiv, 275 pages) : illustrations. |
| Bibliography: | Includes bibliographical references (pages 207-262) and index. |
| ISBN: |
9781483154367 148315436X |
| Index Number: | Q335 |
| CLC: | TP11 |
| Contents: |
Front Cover; Artificial Intelligence:State of the Art Report; Copyright Page; Table of Contents; Foreword; Publisher's note; Introduction to the Invited Papers; Part 1: Invited Papers; Chapter 1. Pattern analysis-an opportunity for research and development; Pattern analysis-an opportunity for research and development; What is pattern analysis?; Research in pattern analysis; The next step; Chapter 2. Logic in artificial intelligence; Logic in artificial intelligence; Introduction; Reasoning about knowledge; Commonsense reasoning; Default reasoning and non-monotonic logics. Chapter 3. Knowledge representationKnowledge representation; What do we want to get from knowledge representation?; Types of adequacy of representation; Other considerations; Major knowledge representation paradigms; Mixing the paradigms; Evaluating the approaches; Types of problem and their representation; Conclusion; Chapter 4. Knowledge elicitation; Knowledge elicitation; Introduction; Aspects of knowledge; Elicitation; Representation and communication; Conclusions; Chapter 5. Knowledge-based management systems and data processing; Knowledge-based management systems; Introduction. KBMSs: the requirementsThe technological contribution of logic programming; KBMS architecture; KBMSs and the DP application backlog; Conclusions; Chapter 6. Advanced robotics and computer vision; Advanced robotics and computer vision; Introduction; National and international initiatives; Overview of, and developments in, advanced robotics; Overview of, and developments in, computer vision; Future trends and developments; Conclusions; Chapter 7. Artificial intelligence and education and training; Artificial intelligence and education and training; Introduction. AI and education: common concerns?Relevant areas of AI research; AI and computer-based training; AI and traditional training; Acknowledgement; Chapter 8. Artificial intelligence applications; Artificial intelligence applications; Introduction; Defining AI; Applications; Future; Further reading; Chapter 9. Human and machine learning; Human and machine learning; Introduction; The psychology of machine learning; Applications to aiding human learning; Conclusions; Chapter 10. The changing shape of the mind; The changing shape of the mind; Introduction; 'Brainstorms'; Concluding remarks. AcknowledgementInvited Paper references; Part 2: Analysis; Chapter 1. Introduction; Introduction; Emerging agreement; Examining the successful use of AI; Contrasting and converging traditions in AI; The economics of AI; Institutional aspects of AI; Hardware, software and ideas; Problems in the management of research; Education and training in, and with, AI; Chapter 2. The objectives of artificial intelligence research; The objectives of artificial intelligence research; An information processing theory of intelligence; Tools to support human problem solving; Biological information processing. |