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

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Ivan Bindoff,Tristan Ling,Byeong Ho Kangctioning of which is based on a hidden Markov model trained by a genetic algorithm, yet lacking deep emotional intelligence. Generalizing on this example, we outline a roadmap to building a variety of useful virtual creative assistants to humans based on an emotionally intelligent cognitive architecture.

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Annotation for the Semantic Webs. This is done with the help of computations on cellular automata. The results of this article open a way towards a secure usage of cognitive architectures in a variety of practical application domains.

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The Know-Net Approach and Framework,upport 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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Intelligent Search System for Huge Non-structured Data Storages with Domain-Based Natural Language Iing index construction, for queries execution and the semantic map, which would help to clarify the queries. In this paper we are going to describe our algorithms and the architecture of the system, and also to give a comparison to analogues.

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A Roadmap to Emotionally Intelligent Creative Virtual Assistantsctioning of which is based on a hidden Markov model trained by a genetic algorithm, yet lacking deep emotional intelligence. Generalizing on this example, we outline a roadmap to building a variety of useful virtual creative assistants to humans based on an emotionally intelligent cognitive architecture.

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No Two Brains Are Alike: Cloning a Hyperdimensional Associative Memory Using Cellular Automata Compus. This is done with the help of computations on cellular automata. The results of this article open a way towards a secure usage of cognitive architectures in a variety of practical application domains.