Second Generation Expert Systems
Published on 8. December 2011
Book
Paperback/Softback
IX, 764 pages
978-3-642-77929-9 (ISBN)
Description
Second Generation Expert Systems have been a very active
field of research during the last years. Much work has been
carried out to overcome drawbacks of first generation expert
systems. This book presents an overview and new
contributions from people who have played a major role in
this evolution. It is divided in several sections that cover
the main topics of the subject:
- Combining Multiple Reasoning Paradigms
- Knowledge Level Modelling
- Knowledge Acquisition in Second Generation Expert Systems
- Explanation of Reasoning
- Architectures for Second Generation Expert Systems.
This book can serve as a reference book for researchers and
students and will also be an invaluable help for
practitioners involved in KBS developments.
More details
Edition
Softcover reprint of the original 1st ed. 1993
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
IX, 764 p.
Dimensions
Height: 242 mm
Width: 170 mm
Thickness: 42 mm
Weight
1309 gr
ISBN-13
978-3-642-77929-9 (9783642779299)
DOI
10.1007/978-3-642-77927-5
Schweitzer Classification
Other editions
Additional editions
Jean-Marc David | Jean-Paul Krivine | Reid Simmons
Second Generation Expert Systems
Book
08/1993
Springer
€85.55
Article exhausted; check different version
Content
I: Introduction.- 1. Second Generation Expert Systems: A Step Forward in Knowledge Engineering.- II: Combining Multiple Models & Reasoning Techniques.- 2. The Roles of Knowledge Representation in Problem Solving.- 3. Combining Heuristic Reasoning with Causal Reasoningin Diagnostic Problem Solving.- 4. Combining Causal Models and Case-Based Reasoning.- 5. Generate, Test and Debug: A Paradigm for Combining Associational and Causal Reasoning.- 6. The Business Analyzer: A Second Generation Approach to Financial Decision Support.- 7. QUAWDS: Diagnosis Using Different Models for Different Subtasks.- 8. Integrating Functional Models and Structural Domain Models for Diagnostic Applications.- 9. Multiple Models for Emergency Planning.- 10. Knowledge-Based Design Using the Multi-Modeling Approach.- III: Knowledge Level Approaches.- 11. Issues in Knowledge Level Modelling.- 12. Generic Tasks and Task Structures: History, Critique and New Directions.- 13. The Componential Framework and its Role in Reusability.- 14. Towards a Unification of Knowledge Modelling Approaches.- 15. On the Relationship between Knowledge-based Systems Theory and Application Programs: Leveraging Task Specific Approaches.- 16. Generic Models and their Support in Modeling Problem Solving Behavior.- 17. Building and Maintaining a Large Knowledge-Based System from a 'Knowledge Level1 Perspective: the DIVA Experiment.- IV: Knowledge Acquisition.- 18. An Overview of Knowledge Acquisition.- 19. Knowledge Acquisition Process Support Through Generalised Directive Models.- 20. Using the System-Model-Operator Metaphor for Knowledge Acquisition.- 21. Explicit and operational models as a basis for second generation knowledge acquisition tools.- 22. ACTE: A Causal Model-Based Knowledge Acquisition Tool.- 23.Acquisition and Validation of Expert Knowledge by Using Causal Models.- V: Explanation.- 24. Explanation in Second Generation Expert Systems.- 25. Explanation Using Task Structure and Domain Functional Models.- 26. Second Generation Expert System Explanation.- VI: Architectures.- 27. Architectural Foundations for Real-Time Performance in Intelligent Agents.- 28. An Investigation of the Roles of Problem-Solving Methods in Diagnosis.- 29. Knowledge Architectures for Real Time Decision Support.- 30. MODEL-K for prototyping and strategic reasoning at the knowledge level.- 31. A Framework for Integrating Heterogeneous Learning Agents.