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140122 ||| eng |
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|a 9783642833144
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| 100 |
1 |
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|a Bolc, Leonard
|e [editor]
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| 245 |
0 |
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|a Expert System Applications
|h Elektronische Ressource
|c edited by Leonard Bolc, Michael J. Coombs
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| 250 |
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|a 1st ed. 1988
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1988, 1988
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| 300 |
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|a IX, 471 p
|b online resource
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| 505 |
0 |
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|a Representing Control Knowledge as Abstract Tasks and Metarules -- Controlling Expert Systems -- A Quantitative Approach to Approximate Reasoning in Rule-based Expert Systems -- Structural Analysis of Electronic Circuits in a Deductive System -- Building Expert Systems Based on Simulation Models: An Essay in Methodology -- An Approach to Designing an Expert System Through Knowledge Organization -- Garden Path Errors in Diagnostic Reasoning -- Knowledge Organization and Its Role in Temporal and Causal Signal Understanding: The ALVEN and CAA Projects
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Artificial intelligence
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| 700 |
1 |
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|a Coombs, Michael J.
|e [editor]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Artificial Intelligence
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| 028 |
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|a 10.1007/978-3-642-83314-4
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-642-83314-4?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3
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| 520 |
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|a While expert systems technology originated in the United States, its development has become an international concern. Since the start of the DENDRAL project at Stanford University over 15 years ago, with its objective of problem-solving via the automation of actual human expert knowledge, significant expert systems projects have been completed in countries rang ing from Japan to France, Spain to China. This book presents a sample of five such projects, along with four substantial reports of mature studies from North American researchers. Two important issues of expert system design permeate the papers in this volume. The first concerns the incorporation of substantial numeric knowledge into a system. This has become a significant focus of work as researchers have sought to apply expert systems tech nology to complex, real-world domains already subject to statistical or algebraic description (and handled well at some level in numeric terms). A second prominent issue is that of representing control knowledge in a manner which is both explicit, and thus available for inspection, and compatible with the semantics of the problem domain
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