Titlebook: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists; Proceedings of the F Alexei V. Samsonovich,Valentin V. Klimov Co

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Methodology of Learning Curve Analysis for Development of Incoming Material Clustering Neural Networupport from NIDS’ experts had been available during the research. Some of the challenges the NIDS faces are data aggregation for Country Nuclear Infrastructure Profiles (CNIP) and data assessment after Nuclear Infrastructure Review Missions (INIR).

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Alexei V. Samsonovich,Valentin V. KlimovReports on biologically inspired approaches to replicate human mind function.Includes contributions from experts and young scientists alike.Bridges together artificial intelligence, cognitive, neuro a

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/b/image/187512.jpg

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978-3-319-63939-0Springer International Publishing AG 2018

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists978-3-319-63940-6Series ISSN 2194-5357 Series E-ISSN 2194-5365

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https://doi.org/10.1007/BFb0026773of nonsynaptic interactions and the diversity of electrical properties in nervous systems. Neurons in the model release different neurotransmitters into the shared extracellular space (ECS) so each neuron with the appropriate set of receptors can receive signals from other neurons. We consider neuro

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Fran?ois Goasdoué,Chantal Reynaudgeneral theoretical model describing this kind of artificial intelligence is currently missing. This work makes one step toward its development, using a simplistic virtual environment paradigm and an emotional biologically inspired cognitive architecture as the basis. We describe a Virtual Actor mod