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
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Page vii
... Prolog Ivan Bratko From classic expert systems to models: Introduction to a methodology for building model-based systems John C. Kunz, Marilyn J. Stelzner, and Michael D. Williams An integrated approach to the construction of knowledge ...
... Prolog Ivan Bratko From classic expert systems to models: Introduction to a methodology for building model-based systems John C. Kunz, Marilyn J. Stelzner, and Michael D. Williams An integrated approach to the construction of knowledge ...
Page 50
... Prolog] that are associated with knowledge-based programming differ in all these respects. Control is very dynamic and is either event-driven or searchoriented. Rather than a small number of subroutines, one finds an overwhelming number ...
... Prolog] that are associated with knowledge-based programming differ in all these respects. Control is very dynamic and is either event-driven or searchoriented. Rather than a small number of subroutines, one finds an overwhelming number ...
Page 53
... PROLOG is an implementation and extension of PROLOG [1], a logic programming language based on a Horn clause representation. Such clauses may be procedurally interpreted as rules, or in the minimal case, as facts. Knowledge Craft ...
... PROLOG is an implementation and extension of PROLOG [1], a logic programming language based on a Horn clause representation. Such clauses may be procedurally interpreted as rules, or in the minimal case, as facts. Knowledge Craft ...
Page 54
... Prolog is extended by introducing special forms which enable explicit pattern matching against CRL schemata rather than the simple clauses and vectors which constitute facts in conventional PROLOG and OPS programs. Apart from simple ...
... Prolog is extended by introducing special forms which enable explicit pattern matching against CRL schemata rather than the simple clauses and vectors which constitute facts in conventional PROLOG and OPS programs. Apart from simple ...
Page 55
... PROLOG modules may be evoked as actions associated with events or as evaluation procedures for assessing event preference. 3.3. Using KC for Design Prototypes In the design phase, developers use prototyping tools to explore and evaluate ...
... PROLOG modules may be evoked as actions associated with events or as evaluation procedures for assessing event preference. 3.3. Using KC for Design Prototypes In the design phase, developers use prototyping tools to explore and evaluate ...
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