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 73
Page 53
... machine, for example, might returns its value by inheriting it across the has-alarm relation from the status slot of the machine's alarm. In other words, CRL generalizes the concept of inheritance to enable dynamic access across any ...
... machine, for example, might returns its value by inheriting it across the has-alarm relation from the status slot of the machine's alarm. In other words, CRL generalizes the concept of inheritance to enable dynamic access across any ...
Page 58
... machine platform, software versions, user ID, and site conventions on file names, are stored here. In addition to the specialized methods identified above, each of the system components has a set of methods that RPS requires for any ...
... machine platform, software versions, user ID, and site conventions on file names, are stored here. In addition to the specialized methods identified above, each of the system components has a set of methods that RPS requires for any ...
Page 59
... machines. The requirements are to 1) filter out redundancy in multiple alarm conditions associated with the same event; 2) present the Operator with alarms in order of importance; and 3) help Prototyping: Tools and motivations 59 5.
... machines. The requirements are to 1) filter out redundancy in multiple alarm conditions associated with the same event; 2) present the Operator with alarms in order of importance; and 3) help Prototyping: Tools and motivations 59 5.
Page 60
... machine. Deviations from the thermal set point are monitored and distinct alarms are triggered under three conditions: 1-5, 5 - 10, and 10 degrees above the set point. The alarms may cascade, such that when the temperature deviates more ...
... machine. Deviations from the thermal set point are monitored and distinct alarms are triggered under three conditions: 1-5, 5 - 10, and 10 degrees above the set point. The alarms may cascade, such that when the temperature deviates more ...
Page 62
... machines and alarms is sufficient. The Knowledge Craft Network Editor can be entered from RPS in order to create the necessary schemata, see figure 5-5. Each of the alarms is represented as an instance of alarm; and each of the ...
... machines and alarms is sufficient. The Knowledge Craft Network Editor can be entered from RPS in order to create the necessary schemata, see figure 5-5. Each of the alarms is represented as an instance of alarm; and each of the ...
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