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

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Valentin V. Klimov,David J. KelleyReports on biologically inspired approaches to replicate human mind function.Bridges between artificial intelligence, and cognitive, neuro- and social sciences.Highlights applications of biological in

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Studies in Computational Intelligencehttp://image.papertrans.cn/b/image/187516.jpg

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Biologically Inspired Cognitive Architectures 2021978-3-030-96993-6Series ISSN 1860-949X Series E-ISSN 1860-9503

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Conference proceedings 2022ferent disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 12th Annual Meeting of the BICA Society (BICA 2021), which consisted of two parallel virtual event

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https://doi.org/10.1007/978-1-4612-3150-9d can be characterized in terms of multisensory integration and collective behavior. Overall, GI enables a differential system between both motion (information) and random noise/stasis (non-information) that can potentially be applied to a wide range of problem domains.

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Robert M. Grant,Charles Baden-Fullerhat is the reason why they are a key part of modelling affective states. As understanding sentiments is as important as expressing them, ways to define them vary from discrete sets to multidimensional spaces. Therefore the suggested mapping is expected to be used further in the task of synthesising more natural and emotion-saturated speech.

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Seng Chee Tan,Hyo Jeong So,Jennifer Yeo as a flexible approach to determining the number of differentiable groups of users in order to ensure the expediency of labor inputs for creating various scenarios and forms of information presentation with consideration for the individual characteristics of users.

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Gibsonian Information: A New Approach to Quantitative Information,d can be characterized in terms of multisensory integration and collective behavior. Overall, GI enables a differential system between both motion (information) and random noise/stasis (non-information) that can potentially be applied to a wide range of problem domains.

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Mapping Speech Intonations to the VAD Model of Emotions,hat is the reason why they are a key part of modelling affective states. As understanding sentiments is as important as expressing them, ways to define them vary from discrete sets to multidimensional spaces. Therefore the suggested mapping is expected to be used further in the task of synthesising more natural and emotion-saturated speech.