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 55
Page 47
... shells specifically structured to support prototyping. Finally, as illustration of our points, Section 5 provides an example application." "This paper assumes a large systems perspective; and thus, many issues discussed may not be ...
... shells specifically structured to support prototyping. Finally, as illustration of our points, Section 5 provides an example application." "This paper assumes a large systems perspective; and thus, many issues discussed may not be ...
Page 49
... shells [5]. However, general purpose tools can be more or less effective depending on the extent to which developers are given the flexibility required to create a "natural representation". In addition, the tool must be flexible enough ...
... shells [5]. However, general purpose tools can be more or less effective depending on the extent to which developers are given the flexibility required to create a "natural representation". In addition, the tool must be flexible enough ...
Page 56
... Shell (RPS). The shell is a partially complete, but functional, knowledge-based system. It provides both a default system architecture and a library of system management, control, and user interface functions. The key idea is for ...
... Shell (RPS). The shell is a partially complete, but functional, knowledge-based system. It provides both a default system architecture and a library of system management, control, and user interface functions. The key idea is for ...
Page 61
... Shell" to "Alarm Management Assistant", results in the display of an an appropriate nameplate. The top control panel's three generic buttons (see figure 5-1) are replaced with application-specific ones: "Show State", "Test Alarm", "Give ...
... Shell" to "Alarm Management Assistant", results in the display of an an appropriate nameplate. The top control panel's three generic buttons (see figure 5-1) are replaced with application-specific ones: "Show State", "Test Alarm", "Give ...
Page 66
... above example illustrates many RPM concepts, as well as specific features of Knowledge Craft and RPS. Both "in the small" and "in the large" modifications have been shown. Starting with the RPS shell, the. 66 G. S. Kahn and M. Bauer.
... above example illustrates many RPM concepts, as well as specific features of Knowledge Craft and RPS. Both "in the small" and "in the large" modifications have been shown. Starting with the RPS shell, the. 66 G. S. Kahn and M. Bauer.
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