Topics in Expert System Design: Methodologies and ToolsC. Tasso, G. Guida Elsevier, 2014 M06 28 - 447 pages Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology.This book has a dual purpose: to offer concrete guidelines and tools to the designers of expert systems, and to promote basic and applied research on methodologies and tools. It is a coordinated collection of papers from researchers in the USA and Europe, examining important and emerging topics, methodological advances and practical experience obtained in specific applications. Each paper includes a survey introduction, and a comprehensive bibliography is provided. |
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Results 1-5 of 64
Page 6
... programming techniques. Quite differently from the large majority of the authors, De Salvo, Glamm, and Liebowitz claim that an explorative approach is not adequate for business applications of expert systems, and according to this, they ...
... programming techniques. Quite differently from the large majority of the authors, De Salvo, Glamm, and Liebowitz claim that an explorative approach is not adequate for business applications of expert systems, and according to this, they ...
Page 11
... programming. Expert system technology is not a unitary discipline (as programming, largely speaking, is): in fact, it is actually the result of integration of several heterogeneous techniques which share however the following key ...
... programming. Expert system technology is not a unitary discipline (as programming, largely speaking, is): in fact, it is actually the result of integration of several heterogeneous techniques which share however the following key ...
Page 16
... programming language; - adopting a high-level expert system building environment; - acquiring a narrow and specific expert system building tool. In the former two cases extensive design and programming activities are needed for ...
... programming language; - adopting a high-level expert system building environment; - acquiring a narrow and specific expert system building tool. In the former two cases extensive design and programming activities are needed for ...
Page 23
... Programming Project working aper HPP 84-18. J.M. Cupello and D.J. Mishelevich. 1988. Managing prototype knowledge/expert system projects. Comm. of the ACM 31(5), 534-541. D.A. De Salvo, A.E. Glamm, and J. Liebowitz. 1987. Structured ...
... Programming Project working aper HPP 84-18. J.M. Cupello and D.J. Mishelevich. 1988. Managing prototype knowledge/expert system projects. Comm. of the ACM 31(5), 534-541. D.A. De Salvo, A.E. Glamm, and J. Liebowitz. 1987. Structured ...
Page 30
... programming (algorithmic) approaches to the task are not satisfactory. If a conventional approach will work well, then there is usually less technical risk to using it rather than an expert system approach. Note, however, that expert ...
... programming (algorithmic) approaches to the task are not satisfactory. If a conventional approach will work well, then there is usually less technical risk to using it rather than an expert system approach. Note, however, that expert ...
Contents
25 | |
45 | |
Development tools | 179 |
Knowledge acquisition and modeling | 231 |
Validation and evaluation | 351 |
Further reading | 417 |
A STRUCTURED BIBLIOGRAPHY | 419 |
LIST OF CONTRIBUTORS | 437 |
AUTHOR INDEX | 441 |
Other editions - View all
Topics in Expert System Design: Methodologies and Tools Giovanni Guida,Carlo Tasso Snippet view - 1989 |
Common terms and phrases
abstract activities AI Magazine application approach Artificial Intelligence attribute backward chaining behavior Breuker Building Expert Systems cognitive complete components Computer concepts conceptual model construction context cycle decision defined described diagnosis domain expert domain knowledge environment example Expert System Design expert system development expert system evaluation expert system technology expertise facilities Figure formal function goal graphical heuristics identified implementation important inductive inference input instance integrated interaction interface KADS KCML knowledge acquisition knowledge base Knowledge Craft knowledge elicitation knowledge engineer knowledge representation knowledge-based systems KRITON language layer LISP machine machine learning metaclasses methodology methods model-based reasoning MYCIN objects operations OPS5 output performance phase problem solving Proc programming Prolog protocol analysis prototype refinement relations reliability repertory grid represent requirements rule-based rules selection shells software engineering solution specific strategies structure task techniques Topics in Expert types validity values