Journal Information
Cognitive Systems Research
Impact Factor:

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 2018-07-15
Special Issues
Special Issue on Cognition in Software Defined Sensor Networks for the Next Generation Cellular Services
Submission Date: 2020-01-15

Software Defined Sensor Networks (SDSN) are becoming key enabling technology, with multiple innovations supporting the smart city paradigm. For instance, providing multi-hop collaboration among softwarized sensor networks helps to reach possible services from Cloud computing facilities, and Machine Learning (ML) techniques are employed to adapt existing configurations. Moreover, emerging 5th and 6th generation (5G/6G) technologies can revolutionize ubiquitous computing with numerous applications built around various “smart” virtual sensors enabled with cognition and ML techniques. ML showed an outstanding performance in complicated task that require human like intelligence and intuition to perform. It is capable of detecting hidden structures in the data and use that to make smart decisions in smart-cities’ critical missions. To successfully accomplish this vision, cognitive solutions are needed to reshape the existing sensor networks towards further reliable services in 5G/6G paradigms. This special issue brings together a broad multidisciplinary community studying cognitive architectures across science and engineering. It aims to integrate ideas, theories, models and techniques from across different disciplines on cognitive architectures. We invite submissions addressing questions on how cognitive systems in SDSN/Next Generation Networks (NGN) should be designed, developed, and evaluated. We also welcome emerging areas of interest, including, socially-emotional, creative, and human-like-learning artificial intelligence in SDSN. Expression of intent can be directed Potential topics include, but not limited to: Communication protocols for secured SDSN/NGN Cognitive resource management in SDSN/NGN ML and intelligent SDSN-based localization Intelligent blockchain for SDSN/NGN AI algorithms in SDSN/NGN Enablers for intelligent/secured SDSN Use cases enabled by intelligent SDSN in Smart cities Integration of cognitive radio with SDSN for secured solutions IoT and ML in SDSN/NGN communication ML and UAVs assisted public safety and emergency NGN Intelligent 5G/6G communication for secured SDSN Design and evaluation of SDSN test beds, prototypes and platform
Last updated by Dou Sun in 2019-09-07
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