Journal Information
Cognitive Systems Research
http://www.journals.elsevier.com/cognitive-systems-research/
Impact Factor:
1.384
Publisher:
ELSEVIER
ISSN:
1389-0417
Viewed:
6393
Tracked:
7

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Call For Papers
Cognitive Systems Research covers all topics in the study of cognitive processes, in both natural and artificial systems. The journal seeks top-quality contributions and encourages, in particular, articles that transcend traditional disciplinary boundaries (in terms of implications or in terms of approaches).

(1) The journal emphasizes the integration/synthesis of ideas, concepts, constructs, theories, and techniques from multiple paradigms, perspectives, and disciplines, in the analysis, understanding, and design of cognitive and intelligent systems.
(2) Contributions describing results obtained within the traditional disciplines (e.g., psychology, artificial intelligence) using well-established paradigms are also sought (especially if such work has broader implications and relevance).

The journal seeks to foster and promote the discussion of novel approaches in studying cognitive and intelligent systems. It also encourages cross-fertilization of disciplines. This is to be achieved by soliciting and publishing high-quality contributions in all of the areas of study in cognitive science, including artificial intelligence, linguistics, psychology, psychiatry, philosophy, system and control theory, anthropology, sociology, biological sciences, and neuroscience. The scope of the journal includes the study of a variety of different cognitive systems, at different levels, ranging from social/cultural cognition, to individual cognitive agents, to components of cognitive systems. Of particular interest are theoretical, experimental, computational, and integrative studies of cognitive systems at different levels of detail, and from different perspectives.
Last updated by Dou Sun in 2019-12-04
Special Issues
Special Issue on Trusting Intelligent Machines
Submission Date: 2020-04-01

This special issue invites contributors to elaborate on all aspects of trust in the context of intelligent machines. We wish to raise key questions for further research in this emerging area and identify suitable methods for addressing them. The special issue will stress the importance of the interdisciplinarity of the topic. Therefore, methods and perspectives may originate from artificial intelligence, cognitive science, economics, evolutionary anthropology, experimental psychology, philosophy, or social science. The first long-term aim is to develop an understanding of principal mechanisms of trust in the interaction of humans with machines and among machines. The second long-term aim is to apply this understanding to the design and construction of socio-technical systems.
Last updated by Dou Sun in 2019-12-04
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