Titlebook: Biologically Inspired Cognitive Architectures 2021; Proceedings of the 1 Valentin V. Klimov,David J. Kelley Conference proceedings 2022 The

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书目名称Biologically Inspired Cognitive Architectures 2021影响因子(影响力)




书目名称Biologically Inspired Cognitive Architectures 2021影响因子(影响力)学科排名




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书目名称Biologically Inspired Cognitive Architectures 2021网络公开度学科排名




书目名称Biologically Inspired Cognitive Architectures 2021被引频次




书目名称Biologically Inspired Cognitive Architectures 2021被引频次学科排名




书目名称Biologically Inspired Cognitive Architectures 2021年度引用




书目名称Biologically Inspired Cognitive Architectures 2021年度引用学科排名




书目名称Biologically Inspired Cognitive Architectures 2021读者反馈




书目名称Biologically Inspired Cognitive Architectures 2021读者反馈学科排名

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Gibsonian Information: A New Approach to Quantitative Information,formation from direct perceptual signals. In this paper, we characterize GI quantitatively, and contrast this with rival approaches to quantitative information. Our formulation differs from existing approaches to measuring information in two ways. The first involves an emphasis on sensory processing

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A Second-Order Adaptive Network Model for Exam-Related Anxiety Regulation,ng the exam due to the testing situation. If exam anxiety was already quite prevalent in students’ lives, one could expect that this condition got even worse due to the COVID-19 pandemic. Besides all the worrying factors that COVID-19 brought to the general population, students had to rapidly adapt

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Using Boolean Functions of Context Factors for Adaptive Mental Model Aggregation in Organisational egation process usually depends on several context factors that may vary over circumstances. It is explored how Boolean functions of these context factors can be used to model this form of adaptation. For adaptation of aggregation of mental model connections (represented by first-order self-model st

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,Criticism of the «Chinese Room» by J. Searle from the Position of a Hybrid Model for the Design of n which the cognitive agent is located, taking into account the context. A specific definition of understanding is given, which is at the intersection of neurophysiology, information theory and cybernetics. The scheme of abstract architecture of a cognitive agent (of arbitrary nature) is given, conc