Special Issue Call for Paper

New Models and Systems for Emergence of
Learning and Cognition


Scope and Topics 

This special issue provides a unique platform to gather researchers from the fields of computer science, AI, robotics, dynamics and control, psychology, cognitive science, neuroscience, and engineering to share new research results on how humans and/or animals develop sensing, perception, reasoning/inference, and actions. In order for sensing, reasoning/inference, and learning to take place in artificial (man-made) systems, computational models and dynamic systems (including both hardware and software) that support the emergence of such intelligent behaviors are required. This special issue encompasses the development, understanding, analysis and evaluation of new computational models and systems with learning and cognitive capacities. 

The topics to be covered in the special issue must be closely related to scope of Cognitive Neurodynamics (Springer; CODY) and include (but not limited to):
• Machine learning systems,
• Self-organization,
• Emergence of intelligence,
• Cellular automata
• Random Boolean networks,
• New models of neurons,
• New neural network models,
• Recurrent neural networks,
• Computational intelligence and learning techniques,
• Neuromorphic systems and brain-inspired AI,
• Evolvable hardware,
• Neuro-evolution,
• Complex systems and artificial life
• Substrates that exhibit self-reconfiguration, fault tolerance, and adaptation,
• Novel biomaterials and biosystems (e.g. neuronal cultures, carbon nanotubes, and other nanoscale materials and systems)
 

Guidelines and Submission Instructions 

We welcome original contributions describing novel ideas and research results.
(1) To guarantee high quality of the journal, less than 25 carefully selected high-quality contributions, after being reviewed by the guest editors or other experts invited by them, can be recommended to the journal by the guest editors.
(2) The editorial board of CODY reserves the right to reject a recommended paper if they think that the topic of the paper is too far away from the field of the journal or it cannot pass the review.
(3) The recommended papers will be treated as invited papers and just undergo the review of one additional external reviewer invited by the editorial board. The guest editor or the authors can propose three candidate reviewers for each submission, but the editorial board may invite other reviewer out of the list of those three candidates.
(4) After sending the essential information about the paper, such as title, authors, and abstract, to
the guest editors and obtaining their recommendation and confirmation, the authors should submit
their contribution to online submission system (http://cody.edmgr.com/).
(5) The special issue will be published as a regular issue (NOT a supplementary issue), except for
denoting the title of the special issue and the name of guest editors.
 

Important Dates
Paper submission: 1. Jan. 2020
Author notification: 1 Mar. 2020
Final Submission: 1 Apr. 2020
 

Guest Editors


Jianhua Zhang, Professor, Oslo Metropolitan University, Oslo, Norway; jianhuaz@oslomet.no

Jianhua Zhang received his PhD in Electrical Engineering and Information Sciences from the Ruhr University Bochum, Germany in 2005. Subsequently he was a Postdoctoral Research
Associate at Intelligent Systems Research Lab, University of Sheffield, UK from 2005 to
2006. From 2007 to 2017 he was a Professor and Head of Intelligent Systems Group at School
of Information Science and Engineering, East China University of Science and Technology
(ECUST), Shanghai, China. In 2017 he joined VEKIA (Lille, France) as Scientific Director
and Head of Machine Learning Lab. He has been a Professor of AI at Department of
Computer Science, Oslo Metropolitan University, Norway, since 2018. His research interests
include computational intelligence, machine learning, intelligent control systems, humanmachine
systems, brain-machine interaction, neurocomputing, and affective computing.
 

Stefano Nichele, Associate Professor, Oslo Metropolitan University, Oslo, Norway; stenic@oslomet.no

Stefano Nichele is an Associate Professor at the Department of Computer Science, Oslo
Metropolitan University, where he is the founder and deputy head of the Applied Artificial
Intelligence research group. Nichele is the founder and interim chair of the IEEE
Computational Intelligence Society Norway. His research interests include Artificial Life,
Complex Systems, Biological and Artificial Neural Networks, Reservoir Computing, and
Neuro-evolution. Nichele holds a PhD from the Norwegian University of Science and
Technology, Trondheim, Norway.