自主智能体的认知体系结构研究

Q2 Psychology

Biologically Inspired Cognitive Architectures Pub Date : 2018-10-01 DOI:10.1016/j.bica.2018.10.004

Yuriy Dyachenko , Nayden Nenkov , Mariana Petrova , Inna Skarga-Bandurova , Oleg Soloviov

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引用次数: 28

摘要

考虑到人类智能是唯一可用的智能，我们将发现神经过程和心理现象之间的功能关系，以在人工系统中再现智能。主体的自主行为可能是物理过程与自我参照的有意义的信息处理之间的差距的结果，这些信息处理与物理过程相关，但不是由物理过程决定的。这种不确定性可以通过信息的自我参照处理在认知架构中再现，并将其视为有意义的模型。我们提出将自主智能体的认知架构体现为具有反馈回路的人工神经网络，用于有意义的信息处理。

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Approaches to cognitive architecture of autonomous intelligent agent

Taking into account that the human intelligence is the only available intelligence we will find the functional relationship between neuronal processes and psychic phenomena to reproduce intelligence in artificial system. The autonomous behavior of an agent may be the consequence of a gap between physical processes and self-referential meaningful processing of information which is related but not determined by physical processes. This indeterminism can be reproduced in a cognitive architecture through the self-referential processing of information with consideration of itself as a meaningful model. We propose embodiment of cognitive architecture of autonomous intelligent agent as an artificial neural network with a feedback loop in meaningful processing of information.

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来源期刊

Biologically Inspired Cognitive Architectures COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEN-NEUROSCIENCES

CiteScore

3.60

自引率

0.00%

发文量

期刊介绍： Announcing the merge of Biologically Inspired Cognitive Architectures with Cognitive Systems Research. Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.