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 88
Page 3
... problem solving performance in a specific competence domain by exploiting a knowledge base and a reasoning mechanism. Expert system technology has been developing very fast over the last decade and a huge amount of application projects ...
... problem solving performance in a specific competence domain by exploiting a knowledge base and a reasoning mechanism. Expert system technology has been developing very fast over the last decade and a huge amount of application projects ...
Page 9
... problem solving approaches. This implies a development paradigm based on the iteration of experiments, analysis of data, modeling, and validation. - It should be focused, i.e. specially emphasizing those tasks which are typical of ...
... problem solving approaches. This implies a development paradigm based on the iteration of experiments, analysis of data, modeling, and validation. - It should be focused, i.e. specially emphasizing those tasks which are typical of ...
Page 34
... problem of dealing with multiple experts whose conclusions or problem-solving techniques do not agree. However, there may be some advantages to using multiple experts, e.g., strength of authority and breadth of expertise in sub-domains ...
... problem of dealing with multiple experts whose conclusions or problem-solving techniques do not agree. However, there may be some advantages to using multiple experts, e.g., strength of authority and breadth of expertise in sub-domains ...
Page 48
... problem solver, the knowledge base, and the interface. The problem solver, or inference engine, typically provides an approach to interpreting or using the contents of a knowledge base. Applications differ widely in the degree to which ...
... problem solver, the knowledge base, and the interface. The problem solver, or inference engine, typically provides an approach to interpreting or using the contents of a knowledge base. Applications differ widely in the degree to which ...
Page 49
... problem with the identification of a likely cause or should all ... solving procedures. The speed of development is important as the ... problem solver enables a preliminary capture of knowledge whose use can be explored from alternative ...
... problem with the identification of a likely cause or should all ... solving procedures. The speed of development is important as the ... problem solver enables a preliminary capture of knowledge whose use can be explored from alternative ...
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