Propositional, Probabilistic and Evidential Reasoning / Studies in Fuzziness and Soft Computing Bd.77 (PDF)
Integrating Numerical and Symbolic Approaches
(Sprache: Englisch)
The book systematically provides the reader with a broad range of systems/research work to date that address the importance of combining numerical and symbolic approaches to reasoning under uncertainty in complex applications. It covers techniques on how to...
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Produktinformationen zu „Propositional, Probabilistic and Evidential Reasoning / Studies in Fuzziness and Soft Computing Bd.77 (PDF)“
The book systematically provides the reader with a broad range of systems/research work to date that address the importance of combining numerical and symbolic approaches to reasoning under uncertainty in complex applications. It covers techniques on how to extend propositional logic to a probabilistic one and compares such derived probabilistic logic with closely related mechanisms, namely evidence theory, assumption based truth maintenance systems and rough sets, in terms of representing and reasoning with knowledge and evidence.
The book is addressed primarily to researchers, practitioners, students and lecturers in the field of Artificial Intelligence, particularly in the areas of reasoning under uncertainty, logic, knowledge representation and reasoning, and non-monotonic reasoning.
The book is addressed primarily to researchers, practitioners, students and lecturers in the field of Artificial Intelligence, particularly in the areas of reasoning under uncertainty, logic, knowledge representation and reasoning, and non-monotonic reasoning.
Bibliographische Angaben
- Autor: Weiru Liu
- 2013, 2001, 274 Seiten, Englisch
- Verlag: Physica-Verlag HD
- ISBN-10: 3790818119
- ISBN-13: 9783790818116
- Erscheinungsdatum: 05.06.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 21 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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