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Decision making and modelling in cog...

Roy, Sisir.

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Decision making and modelling in cognitive science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Decision making and modelling in cognitive science/ by Sisir Roy.
作者:	Roy, Sisir.
出版者:	New Delhi :Springer India : : 2016.,
面頁冊數:	xv, 165 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. Various Approaches to Decision Making -- Chapter 3. Predictability of Brain, Decision making and Cognition -- Chapter 4. New Empirical Evidences on Decision making and Cognition -- Chapter 5. Fundamental Concepts of Mathematics and Quantum Formalism -- Chapter 6. Complementary Principle, Concept of Filter and Cognition Process -- Chapter 7.Quantum Probability Theory and Non-Boolean Logic -- Chapter 8. Quantum Ontology and Context Dependence -- Chapter 9. Modern Neuroscience and Quantum Logic -- Chapter 10. Future Directions of Modelling the uncertainty in Cognitive Domain.
Contained By:	Springer eBooks
標題:	Decision making. -
電子資源:	http://dx.doi.org/10.1007/978-81-322-3622-1
ISBN:	9788132236221

Decision making and modelling in cognitive science
Roy, Sisir.

Decision making and modelling in cognitive science[electronic resource] /by Sisir Roy. - New Delhi :Springer India :2016. - xv, 165 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Various Approaches to Decision Making -- Chapter 3. Predictability of Brain, Decision making and Cognition -- Chapter 4. New Empirical Evidences on Decision making and Cognition -- Chapter 5. Fundamental Concepts of Mathematics and Quantum Formalism -- Chapter 6. Complementary Principle, Concept of Filter and Cognition Process -- Chapter 7.Quantum Probability Theory and Non-Boolean Logic -- Chapter 8. Quantum Ontology and Context Dependence -- Chapter 9. Modern Neuroscience and Quantum Logic -- Chapter 10. Future Directions of Modelling the uncertainty in Cognitive Domain.

This book discusses the paradigm of quantum ontology as an appropriate model for measuring cognitive processes. It clearly shows the inadequacy of the application of classical probability theory in modelling the human cognitive domain. The chapters investigate the context dependence and neuronal basis of cognition in a coherent manner. According to this framework, epistemological issues related to decision making and state of mind are seen to be similar to issues related to equanimity and neutral mind, as discussed in Buddhist perspective. The author states that quantum ontology as a modelling tool will help scientists create new methodologies of modelling in other streams of science as well.

ISBN: 9788132236221

Standard No.: 10.1007/978-81-322-3622-1doiSubjects--Topical Terms:

517204
Decision making.

LC Class. No.: HD30.23 / .R69 2016

Dewey Class. No.: 658.403

Decision making and modelling in cognitive science
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505 0 $a Chapter 1. Introduction -- Chapter 2. Various Approaches to Decision Making -- Chapter 3. Predictability of Brain, Decision making and Cognition -- Chapter 4. New Empirical Evidences on Decision making and Cognition -- Chapter 5. Fundamental Concepts of Mathematics and Quantum Formalism -- Chapter 6. Complementary Principle, Concept of Filter and Cognition Process -- Chapter 7.Quantum Probability Theory and Non-Boolean Logic -- Chapter 8. Quantum Ontology and Context Dependence -- Chapter 9. Modern Neuroscience and Quantum Logic -- Chapter 10. Future Directions of Modelling the uncertainty in Cognitive Domain.
520 $a This book discusses the paradigm of quantum ontology as an appropriate model for measuring cognitive processes. It clearly shows the inadequacy of the application of classical probability theory in modelling the human cognitive domain. The chapters investigate the context dependence and neuronal basis of cognition in a coherent manner. According to this framework, epistemological issues related to decision making and state of mind are seen to be similar to issues related to equanimity and neutral mind, as discussed in Buddhist perspective. The author states that quantum ontology as a modelling tool will help scientists create new methodologies of modelling in other streams of science as well.
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