Future Directions in Artificial Intelligence
Published in March 1991
Book
Hardback
204 pages
978-0-444-89048-1 (ISBN)
Description
The contributions to this book are from Artificial Intelligence specialists from all over the world. Their ideas on the future of AI are original, thought-provoking and sometimes controversial. The first section, Methodology, looks at how AI students should be educated, AI's relationship to computer science, and specialisation. The next part discusses the paradigms that dominated AI research in the past (such as the symbol processing paradigm) and a perceived need for new paradigms. Trends outlines the state of the art and trends in knowledge representation, intelligent interfaces, intelligent networking systems, and distributed AI. The fourth part, Prospects, looks further into the future, suggesting important research topics and the future of AI research in general. An important question is asked: Why should anybody use AI technology anyway?
The contributions to this book are from Artificial Intelligence specialists from all over the world. Their ideas on the future of AI are original, thought-provoking and sometimes controversial. The first section, Methodology, looks at how AI students should be educated, AI's relationship to computer science, and specialisation. The next part discusses the paradigms that dominated AI research in the past (such as the symbol processing paradigm) and a perceived need for new paradigms. Trends outlines the state of the art and trends in knowledge representation, intelligent interfaces, intelligent networking systems, and distributed AI. The fourth part, Prospects, looks further into the future, suggesting important research topics and the future of AI research in general. An important question is asked: Why should anybody use AI technology anyway?
The contributions to this book are from Artificial Intelligence specialists from all over the world. Their ideas on the future of AI are original, thought-provoking and sometimes controversial. The first section, Methodology, looks at how AI students should be educated, AI's relationship to computer science, and specialisation. The next part discusses the paradigms that dominated AI research in the past (such as the symbol processing paradigm) and a perceived need for new paradigms. Trends outlines the state of the art and trends in knowledge representation, intelligent interfaces, intelligent networking systems, and distributed AI. The fourth part, Prospects, looks further into the future, suggesting important research topics and the future of AI research in general. An important question is asked: Why should anybody use AI technology anyway?
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 230 mm
ISBN-13
978-0-444-89048-1 (9780444890481)
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Schweitzer Classification
Content
Methodology. The Need for a Formal Education in Artificial Intelligence (R.B. Banerji). Informatics as the Scientific Environment for Artificial Intelligence (J. Gruska). Towards a Reintegration of Artificial Intelligence Research (J.F. Sowa). Paradigms. Paradigm Shifts in Artificial Intelligence (A. de Callatay). Why Today's Computers Don't Learn the Way People Do (W.J. Clancey). Future Directions of Artificial Intelligence in a Resource-Limited Environment (R.S. Michalski, D.C. Littman). Beyond the Symbolic Paradigm (L.S. Sterling, R.D. Beer, H.J. Chiel). Trends. Research Trends in Knowledge Representation (L.C. Aiello, D. Nardi). "Artificial" Interfaces for Knowledge Acquisition: A Futuristic Scenario (R. Chandrasekar, S. Ramani). Intelligent Distributed and Networking Systems (J. Maitan). Distributed Artificial Intelligence (Zhongzhi Shi). Prospects. On the Future (and Present) State of Artificial Intelligence (Y. Kodratoff). Artificial Intelligence Needs its Eisenstein and Chaplin (A. Markus, E. Knuth). AI Technology, Non-Existent or Extinct? (P. van Lith). The Future of Research in Artificial Intelligence (L. Siklossy). Epilogue. The Dialectics of Artificial Intelligence (P.A. Flach). References. Index.