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 69
Page 47
... based systems rely heavily on prototypes. Prototypes are critical to several phases of the software lifecycle ... rule-based systems or application shells. In order to understand the many uses of prototyping, familiarity CHAPTER 3 ...
... based systems rely heavily on prototypes. Prototypes are critical to several phases of the software lifecycle ... rule-based systems or application shells. In order to understand the many uses of prototyping, familiarity CHAPTER 3 ...
Page 53
... based on a Horn clause representation. Such clauses may be procedurally interpreted as rules, or in the minimal case, as facts. Knowledge Craft interface tools include the Window and Command Systems. The Window System provides high ...
... based on a Horn clause representation. Such clauses may be procedurally interpreted as rules, or in the minimal case, as facts. Knowledge Craft interface tools include the Window and Command Systems. The Window System provides high ...
Page 63
... rules are used to match different patterns across the alarms, (figure 5-6). The ... rule can both modify the domain model and send messages that affect system ... based component would require use of the Knowledge Craft CRL-OPS Workcenter ...
... rules are used to match different patterns across the alarms, (figure 5-6). The ... rule can both modify the domain model and send messages that affect system ... based component would require use of the Knowledge Craft CRL-OPS Workcenter ...
Page 71
... rule-based expert systems, Prolog itself is a language of rules: the refore the Prolog interpreter is already an expert system shell for building rule-based systems. There are two problems with this view: first, it assumes that the ...
... rule-based expert systems, Prolog itself is a language of rules: the refore the Prolog interpreter is already an expert system shell for building rule-based systems. There are two problems with this view: first, it assumes that the ...
Page 74
... base and the rest of the program. 3. PROGRAMMING BASIC MECHANISMS OF RULE-BASED EXPERT SYSTEMS IN PROLOG 3.1 Prolog's own backward chaining Basic mechanisms of rule-based programming are easily implemented in Prolog. For example ...
... base and the rest of the program. 3. PROGRAMMING BASIC MECHANISMS OF RULE-BASED EXPERT SYSTEMS IN PROLOG 3.1 Prolog's own backward chaining Basic mechanisms of rule-based programming are easily implemented in Prolog. For example ...
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