Second Generation Expert Systems

✍ Scribed by Jean-Marc David, Jean-Paul Krivine, Reid Simmons (auth.), Jean-Marc David, Jean-Paul Krivine, Reid Simmons (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1993
• Tongue: English
• Leaves: 762
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-IX
Front Matter....Pages 1-1
Second Generation Expert Systems: A Step Forward in Knowledge Engineering....Pages 3-23
Front Matter....Pages 25-25
The Roles of Knowledge and Representation in Problem Solving....Pages 27-45
Combining Heuristic Reasoning with Causal Reasoning in Diagnostic Problem Solving....Pages 46-68
Combining Causal Models and Case-Based Reasoning....Pages 69-78
Generate, Test and Debug: A Paradigm for Combining Associational and Causal Reasoning....Pages 79-92
The Business Analyzer: A Second Generation Approach to Financial Decision Support....Pages 93-109
Quawds: Diagnosis Using Different Models for Different Subtasks....Pages 110-130
Integrating Functional Models and Structural Domain Models for Diagnostic Applications....Pages 131-160
Multiple Models for Emergency Planning....Pages 161-173
Knowledge-Based Design Using the Multi-Modeling Approach....Pages 174-208
Front Matter....Pages 209-209
Issues in Knowledge Level Modelling....Pages 211-231
Generic Tasks and Task Structures: History, Critique and New Directions....Pages 232-272
The componential framework and its role in reusability....Pages 273-298
Towards a Unification of Knowledge Modelling Approaches....Pages 299-335
On The Relationship between Knowledge-based Systems Theory and Application Programs: Leveraging Task Specific Approaches....Pages 336-349
Generic Models and Their Support in Modeling Problem Solving Behavior....Pages 350-375
Building and Maintaining a Large Knowledge-Based System from a ‘Knowledge Level’ Perspective: the DIVA Experiment....Pages 376-401
Front Matter....Pages 403-403
An Overview of Knowledge Acquisition....Pages 405-427
KA Process Support Through Generalised Directive Models....Pages 428-455
Using the System-Model-Operator Metaphor for Knowledge Acquisition....Pages 456-464
Front Matter....Pages 403-403
Explicit and operational models as a basis for second generation knowledge acquisition tools....Pages 465-494
ACTE: a Causal Model-Based Knowledge Acquisition Tool....Pages 495-516
Acquisition and Validation of Expert Knowledge by using Causal Models....Pages 517-539
Front Matter....Pages 541-541
Explanation in Second Generation Expert Systems....Pages 543-585
Explanation Using Task Structure and Domain Functional Models....Pages 586-613
Second Generation Expert System Explanation....Pages 614-640
Front Matter....Pages 641-641
Architectural Foundations for Real-Time Performance in Intelligent Agents....Pages 643-672
An Investigation of the Roles of Problem-Solving Methods in Diagnosis....Pages 673-688
Knowledge Architectures for Real Time Decision Support....Pages 689-720
MODEL-K for prototyping and strategic reasoning at the knowledge level....Pages 721-745
A Framework for Integrating Heterogeneous Learning Agents....Pages 746-764

✦ Subjects

Artificial Intelligence (incl. Robotics)