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. |
From inside the book
Results 1-5 of 74
Page vii
... refinement Casimir A. Kulikouvski Part 4. Development tools 47 69 87 145 Expert system building tools James L. Alty Expert system tool evaluation Jeff Rothenberg 181 205 Part 5. Knowledge acquisition and modeling Cognitive task analysis ...
... refinement Casimir A. Kulikouvski Part 4. Development tools 47 69 87 145 Expert system building tools James L. Alty Expert system tool evaluation Jeff Rothenberg 181 205 Part 5. Knowledge acquisition and modeling Cognitive task analysis ...
Page 5
... refinements. First, it provides more detailed criteria for problem analysis, which combine together different analysis perspectives, such as problem identification and system technical and organizational feasibility. Second, some ...
... refinements. First, it provides more detailed criteria for problem analysis, which combine together different analysis perspectives, such as problem identification and system technical and organizational feasibility. Second, some ...
Page 6
... refinement. The work done at the National Archives and Records Administration and reported in (De Salvo, Glamm, and Liebowitz, 1987) goes even further in the direction of directly using standard techniques employed in software ...
... refinement. The work done at the National Archives and Records Administration and reported in (De Salvo, Glamm, and Liebowitz, 1987) goes even further in the direction of directly using standard techniques employed in software ...
Page 9
... focused, i.e. specially emphasizing those tasks which are typical of expert system development (domain and problem analysis, knowledge modeling and acquisition, knowledge base verification and refinement, etc.); Building expert systems 9.
... focused, i.e. specially emphasizing those tasks which are typical of expert system development (domain and problem analysis, knowledge modeling and acquisition, knowledge base verification and refinement, etc.); Building expert systems 9.
Page 10
... refinement, etc.); - It should be open, i.e. it should support the use and integration of existing techniques and tools aimed at specific aspects or phases of the expert system development process (e.g., knowledge acquisition tools ...
... refinement, etc.); - It should be open, i.e. it should support the use and integration of existing techniques and tools aimed at specific aspects or phases of the expert system development process (e.g., knowledge acquisition tools ...
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