Roland W. Scholz,Editors, ,Decision Making under Uncertainty: Cognitive Decision Research, Social Interaction, Development and Epistemology Volume 16 in: Advances in Psychology (1983) North-Holland,Amsterdam.
✍ Scribed by Rakesh Kumar Sarin
- Book ID
- 104339178
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 88 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0377-2217
No coin nor oath required. For personal study only.
✦ Synopsis
tains in reading this volume is that the dominant theme of the chapters is fuzzy set theory. Very few of the chapters deal with other than fuzzy representations of imperfect knowledge. In part one, only the chapters on "Foundations of Approximate Reasoning", Mathematical Tools for Knowledge Representation", "A Formal Approach to Analogical Reasoning", and "Additive Structure of the Measure of Information Content" could be said to present other than perspectives on fuzzy set theory. "Systemic Foundations for Reasoning in Expert Systems", "The Integration of Traditional Simulation with Expert Systems and AI Knowledge Representation", "Medical Decision Making Utilizing Techniques from Pattern Recognition", "A Theoretical Foundation for Abductive Expert Systems", "Imprecise Knowledge Representation in Inferential Activities", and "Possibility Seeking Systems" generally concern approaches for approximate reasoning other than fuzzy logic based approaches in part two. In the third part of the book, only "Expert Systems for Clinical Diagnosis", "'EMERGE --An Expert System for Chest Pain Analysis", "Speril II." An Expert System", "ARIES: An Approximate Reasoning Inference Engine", and "A Mechanism for Representating and Using Meta-Knowledge in Rule Based Systems" deal with other than fuzzy logic based approaches to approximate reasoning. While there is nothing inappropriate in this, the emphasis of 35 of the 50 chapters on fuzzy set based methods would perhaps have suggested mention of this in the title.
As might be expected in an edited work, there is little consistency in style and notation in the 50 chapters in this large volume. While this would make use of the volume as a classroom text difficult, it does not detract from its value as a reference and research volume. For the most part, that value is considerable. Many of the chapters represent excellent state of the art overviews of contributions to contemporary research. Thus this work certainly deserves a Place on the shelves of researchers concerned with the incorporation of non-classic and approximate reasoning based approaches in expert systems.