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Biologically Inspired Cognitive Architectures Q0

期刊收录：

基本信息

期刊ISSN：
2212-683X
期刊简拼：
BIOL INSPIR COGN ARC
年发文章数：
0
E-ISSN：
Gold OA文章占比
0.00%
研究文章占比：
0.00%
是否OA：
No
Jcr分区：
Q0
中科院分区：

出版信息

出版商：
Elsevier BV
涉及研究方向：
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEN-NEUROSCIENCES
出版国家：
NETHERLANDS
出版语言：
出版周期：
出版年份：
0

2023-2024最新影响因子:0
自引率:N.A.
五年影响因子:0
JCI期刊引文指标:0
h-index:15
CiteScore:3.60

期刊关键词

0区

期刊简介

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.

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