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Beschreibung
The book provides a survey about the field of Qualitative Reasoning, it contrasts and classifies its approaches and puts them into a common framework. Qualitative Reasoning represents an approach of Artificial Intelligence to model dynamic systems, about which little information is available, and to derive statements about the potential behavior of these systems, putting emphasis on a causal explanation of the behavior. Both variables and relationships between variables are described by means of qualitative terms such as small and large or positive and negative. Since this approach also takes into consideration the way how humans reason about physical systems, it can be stated that Qualitative Reasoning participates in the creation of a cognitive theory of non-numerical process descriptions which can be mapped onto a digital computer. This approach can be used for simulation, diagnosis, design, structure identification and interpretation. Areas of application are physics, medicine, the field of ecology, process control, etc. In addition to the classification of existing methods, the book presents a new approach based on fuzzy sets. And the work relates Qualitative Reasoning with such fields of Expert Systems, System Theory and Cognitive Science.
The book provides a survey about the field of Qualitative Reasoning, it contrasts and classifies its approaches and puts them into a common framework. Qualitative Reasoning represents an approach of Artificial Intelligence to model dynamic systems, about which little information is available, and to derive statements about the potential behavior of these systems, putting emphasis on a causal explanation of the behavior. Both variables and relationships between variables are described by means of qualitative terms such as small and large or positive and negative. Since this approach also takes into consideration the way how humans reason about physical systems, it can be stated that Qualitative Reasoning participates in the creation of a cognitive theory of non-numerical process descriptions which can be mapped onto a digital computer. This approach can be used for simulation, diagnosis, design, structure identification and interpretation. Areas of application are physics, medicine, the field of ecology, process control, etc. In addition to the classification of existing methods, the book presents a new approach based on fuzzy sets. And the work relates Qualitative Reasoning with such fields of Expert Systems, System Theory and Cognitive Science.
Inhaltsverzeichnis
I Introducing Qualitative Reasoning.- 1. Instead of a Definition.- 2. Tasks of Qualitative Reasoning.- 3. Basic Principles.- 4. A Short History.- II The Basics of Qualitative Reasoning.- 1. The Main Approaches.- 2. Correspondences and Differences.- 3. Dimensions of Qualitative Mapping.- 4. The Reasoning Techniques of the Main Approaches.- III Advanced Topics.- 1. Some Remarks on Causality.- 2. The Problem of Ambiguity - Improvements in the Representation of Structure and the Generation of behavior.- 3. The Representation of Uncertainty.- 4. A Graph-based Interpretation of Qualitative Models.- IV Qualitative Reasoning and Related Fields.- 1. Simulation in System Theory.- 2. Qualitative Reasoning and Expert Systems.- 3. Modeling Human Reasoning - a Short Look at Cognitive Science.- V Modeling in Qualitative Reasoning.- VI Conclusion and Suggestions for Further Research.- References.
Details
Erscheinungsjahr: 1994
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xiii
180 S.
2 s/w Illustr.
180 p. 2 illus.
ISBN-13: 9783211825792
ISBN-10: 3211825797
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Werthner, Hannes
Hersteller: Springer
Springer-Verlag GmbH
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 244 x 170 x 11 mm
Von/Mit: Hannes Werthner
Erscheinungsdatum: 26.05.1994
Gewicht: 0,349 kg
Artikel-ID: 101989792

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