Exemplar-Based Knowledge Acquisition
A Unified Approach to Concept Representation, Classification, and Learning
Published on 10. May 2014
184 pages
978-1-4832-1637-9 (ISBN)
Description
Exemplar-Based Knowledge Acquisition: A Unified Approach to Concept Representation, Classification, and Learning covers the fundamental issues in cognitive science and the technology for solving real problems. This text contains six chapters and begins with a description of the rationale for the design of Protos Approach, its construction and performance. The succeeding chapters discuss how the Protos approach meets the requirements of representing concepts, using them for classification, and acquiring them from available training. These chapters also deal with the design and implementation of Protos. These topics are followed by a presentation of examples of the application of Protos to audiology and evaluate its performance. The final chapters survey related work in the areas of case-based reasoning and automated knowledge acquisition and the contributions of Protos approach. This book will be of great value to psychologists, psychiatrists, and researchers in the field of artificial intelligence.
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Ray Bareiss
Exemplar-based Knowledge
Book
01/1989
Academic Press
€43.33
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Content
AcknowledgmentsPreface1 Introduction 1.1 Preliminaries 1.2 The Goal of this Research 1.3 Constraints on Concept Learning 1.4 Protos: A Unified Approach 1.5 Evaluation of the Protos Approach 1.6 Introduction to Related Research 1.7 A Guide to this Book2 An Overview of the Protos Approach 2.1 The Knowledge Representation 2.2 The Classification Procedure 2.3 The Learning Procedures 2.4 Summary3 The Design of the Protos System 3.1 The Knowledge Representation 3.2 The Classification Procedure 3.3 The Learning Procedures4 Evaluation of Protos 4.1 Learning Audio logical Diagnosis 4.2 Examples of Protos in Action 4.3 Experimental Evaluation of Protos 4.4 Discussion of the Experimental Results5 Related Research 5.1 Case-Based Reasoning 5.2 Automated Knowledge Acquisition6 Contributions and Future Work 6.1 Contributions 6.2 Future Work 6.3 A Final WordA Human Concept Representation A.1 The Classical View A.2 The Probabilistic View A.3 The Exemplar ViewB Protos' Category StructureC Protos' Explanation Language C.1 Relational Links C.2 Qualifiers for Explanation LinksD Explanation Heuristics D.1 Feature-To-Feature Heuristics D.2 Feature-To-Category ExplanationsE The Experimental Questionnaire E.1 Instructions E.2 Sample Page of the QuestionnaireGlossary of Protos TerminologyGlossary of Audiological TerminologyBibliographyIndex
