Titlebook: Decision Making and Modelling in Cognitive Science; Sisir Roy Book 2016 Springer India 2016 Bayesian probability and cognitive modelling.C

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书目名称Decision Making and Modelling in Cognitive Science影响因子(影响力)




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书目名称Decision Making and Modelling in Cognitive Science网络公开度学科排名




书目名称Decision Making and Modelling in Cognitive Science被引频次




书目名称Decision Making and Modelling in Cognitive Science被引频次学科排名




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书目名称Decision Making and Modelling in Cognitive Science年度引用学科排名




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Various Approaches to Decision Making, empirical observations and on experimental studies of choice behaviors. But the normative theories specifically assume a rational decision-maker who follows well-defined preferences of behaviors as well as obeys certain axioms of rational processes. The axiomatic approach plays an important role in

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Predictability of Brain and Decision Making,nctional space. By the term “internalization” of the properties, we mean the ability of the nervous system to fracture external reality into sets of sensory messages; the next task of this process is to simulate such reality in brain reference frames. As stated earlier, the concept of functional geo

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New Empirical Evidences on Decision Making and Cognition, been shown to be invalid within the context of decision making in the cognitive domain. These results are classified into six different categories. The concept of quantum probability has been introduced to explain the data, but so far, no quantum mechanical framework has been proposed at the anatom

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Ergots

Ergots

Quantum Ontology and Context Dependence,l and the non-classical world. This is based on the abstract framework of propositional calculus which gives rise to Hilbert space structure, in which case, the framework is devoid of any material content like the concept of elementary particles and their localizations. The fundamental constants suc

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MULTI

Future Directions of Modelling the Uncertainty in the Cognitive Domain,ially in connection to decision making. The major problem seems to be the presence of epistemic uncertainty and its effects on cognition at any time point. Moreover, the stochasticity in the model arises due to the unknown path or trajectory (the definite state of mind at each point in time) a perso

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ective. 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.  .978-81-322-3869-0978-81-322-3622-1