ISSN: 1389-0417

 Ron Sun , Rensselaer Polytechnic Institute.
Vasant Honavar, Iowa State University.



Journal Contents (published issues)

In addition to on-line publication, archival print volumes of all the published issues of the journal will be published starting in 2000 by Elsevier. 

Aims and Scope

The journal of Cognitive Systems Research covers all topics in the study of cognitive processes, in both natural and artificial systems.

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. Contributions describing results obtained within the traditional disciplines (e.g., psychology, artificial intelligence) using well-established paradigms are also sought 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, and integrative studies and computational modeling of cognitive systems at different levels of detail, and from different perspectives.

Major Topics covered (a nonexclusive list) include

  • Problem-Solving and Cognitive Skills:
  • Theories of problem solving and skill
  • Experimental studies of cognitive skills and problem solving in various domains
  • Architectures for cognitive skill and problem solving
  • Neural and stochastic approaches
  • Parallel and distributed algorithms
  • Learning and evolution of problem solving behaviors; cognitive skill acquisition
  • Knowledge Representation and Reasoning:
  • Scientific, mathematical, and commonsense knowledge
  • Formal (logical), Probabilistic, Spatial, Temporal, and Informal (commonsense) Knowledge Representation and Reasoning
  • Computational Architectures for Knowledge Representation and Reasoning
  • Neural models of Knowledge Representation and Inference
  • Learning and acquisition of representation and reasoning
  • Evolution of Representations and reasoning
  • Perception:
  • Perception of different (visual, auditory and tactile) modalities
  • Perception and Selective attention
  • Computational Architectures of Perceptual Systems
  • Neural Models of Perception
  • Multi-modal Perception and Data Fusion
  • Integration of Perception and Action
  • Learning in Perceptual Systems
  • Evolution of Perceptual Systems
  • Action (Behavior):
  • Reactive, planful, and Goal-Directed Behaviors
  • Learning of Behaviors
  • Adaptive Behavior in Complex Dynamic Environments
  • Models of Action Selection and Behavior
  • Computational Architectures of Behaving Systems
  • Neural Models of Behavior
  • Integration of Perception and Action
  • Evolution of Behaviors
  • Memory:
  • Long-term, Short-term, and Working memory
  • Procedural, Semantic, Episodic, Temporal, Visual, and Spatial Memory.
  • Organizational, Social, and Cultural Memory
  • Computational Architectures for Memory Encoding, Organization, and Recall
  • Neural Models of Memory
  • Memory, Problem-solving, Perception, Learning, and Behavior
  • Evolution of Memory
  • Learning:
  • Inductive, deductive, abductive Learning
  • Concept Learning
  • Procedural Learning; Learning of Behaviors; reinforcement learning
  • Multi-Strategy Learning
  • Statistical Learning Models
  • Language Acquistion and learning
  • Knowledge Discovery and Scientific Discovery
  • Knowledge acquisition and Knowledge Refinement
  • Learning from Heterogeneous Sources
  • Interaction of Learning and Representation
  • Integration of Learning, Perception, and Action
  • Interaction Between the Learner and the Environment (e.g., Active Learning).
  • Computational Architectures for Learning
  • Neural Models of Learning
  • Evolution of Learning
  • Language and Communication:
  • Signs and Symbols
  • Syntax, Semantics, and Pragmatics
  • Models of Communication
  • Multi-Modal Communication
  • Computational Architectures for Language and Communication
  • Communication and Problem Solving
  • Neural Models of Language
  • Language Learning (Syntax and Semantics)
  • Evolution of communication and language
  • Agents:
  • Situated Cognition
  • Cognitive, rational, social models of agency
  • Inter-Agent Communication, Coordination, Negotiation, Cooperation, and Competition
  • Reactive and Goal-Directed Agents
  • Learning Agents
  • Robotic Agents
  • Multi-Agent Systems and Distributed Problem-solving
  • Computational Architectures of Agents
  • Neural Models of Agents
  • Models of Agent Goals, Needs, Emotions, Drives, and Motivations
  • Agent Organizations: Hierarchies, Democracies, and Economies of Agents
  • Integrative Studies of Cognitive Systems:
  • Multi-level (neural, psychological, computational) analysis of cognitive phenomena
  • Integrated theories of natural and artificial cognitive systems
  • Experimental Studies of Artificial and Natural Cognitive Systems
  • Information-theoric, control-theoric, and decision-theoric approaches to planning and action
  • Information-theoric and complexity-theoric approaches to problem-solving, perception and learning
  • Comparison, analysis and synthesis of various paradigms in the study of cognitive systems
  • Multi-disciplinary approaches to the study of creativity, learning, knowledge and inference, emotion and motivation, awareness and consciousness, perception and action, decision making and action, etc.
  • Cognitive systems from artificial life, dynamical systems, complex systems perspectives

  • Instructions for Authors

    The journal seeks top-quality contributions on all of the topics mentioned above (and other relevant topics), and encourages, in particular, articles that transcend traditional disciplinary boundaries (in terms of implications or in terms of approaches).

    It is recommended that papers contain a sufficiently long introduction accessible to a wide readership, and that results be put in broader perspective in the conclusion. The main body of a paper, however, should contain sound technical content, preferrably in a multi-disciplinary way.

    The journal includes the following sections:

  • Refereed articles describing original research
  • Review or survey articles on selected topics
  • Invited commentaries on the papers published in the journal
  • Book reviews
  • Conference reports
  • Format and style of manuscripts should conform to the conventions specified in the Publication Manual of the American Psychological Association ( (1200 Seventeenth Street, N.W., Washington, DC 20036, USA). Templates and style files (for Latex, etc.), can be found here.

    Please send submissions in PostScript/PDF format by electronic mail to one of the following co-editors-in-chief (only one of them): gregg-oden [at], honavar [at], rsun [at]

    Please follow up the submission with a plain-text email message including the title, keywords (4 - 6 words), authors, their affiliations, their email addresses, and the abstract of the paper (in that order). Also specify the type of the paper (one of the following categories: refereed regular articles, review or survey articles, invited commentaries, book reviews, or conference report). Optionally, a list of suggested referees and/or action editors may be included.

    The submission of a manuscript will be taken to imply that the material is original and has not been and will not be (unless not accepted in the journal) submitted for publication elsewhere.

    The Editors-in-Chief will assign an Action Editor to each paper submitted. The Action Editor will be in charge of the refereeing process. Each paper is reviewed by at least two reviewers from different disciplines, in addition to the Action Editor. Every effort will be made to ensure that each submission will receive fair and adequate reviews in a timely fashion (typically within 8 weeks). Reviewers of each paper rate and comment on the following aspects of a paper:

  • Originality
  • Technical soundness
  • Clarity of exposition
  • Scientific contribution
  • Multidisciplinary impact
  • When your paper is accepted, you will be asked to send your final version both in a processable format (i.e., the source file in Word, WordPerfect, LaTeX, etc) and in a ready-for-publication format (postscript or pdf) to the Publisher, Elsevier Science. Postscript or PDF guarantees quick turnaround time for publication of your paper. 

    Book Announcements and Book Reviews

  • The journal accepts book announcements and book reviews. If you have recently written a book within the scope of the journal or you know of an excellent, interesting, or controversial new book within the scope of the journal, you are encouraged to contact the review editor wermter [at] .
  • See for a list of books.

    Conference Announcements and Reviews

  • The journal accepts conference announcements and conference reviews/reports. If you are interested, you are encouraged to contact the conference editor rsun [at]

  • Commentary

  • The journal encourages and accepts commentaries on papers published in the previous issues of the journal. If you are interested in submitting a commentary, contact the commentary editor honavar [at]

  • Editorial Board

  • Ron Sun , Rensselaer Polytechnic Institute, U.S.A.
  • Vasant Honavar, Iowa State University, U.S.A.

  • Survey/Review Editors
  • Leslie Marsh, University of New England, U.S.A.
  • Kai-Uwe Kuehnberger, University of Osnabrueck, Germany.
  • Robert West, Carleton University, Canada.

  • Book Review Editor
  • Stefan Wermter, University of Hamburg, Germany.

  • Action Editors
  • John Barnden, School of Computer Science, University of Birmingham, U.K.
  • William Bechtel, Department of Philosophy, University of California, San Diego, U.S.A.
  • Paul Bello, ONR, Arlington, VA, U.S.A.
  • Mark H. Bickhard, Department of Psychology, Lehigh University, U.S.A.
  • Deric Bownds, Department of Zoology, University of Wisconsin, Madison, U.S.A.
  • Angelo Cangelosi, School of Computing and Mathematics, University of Plymouth, Plymouth, U.K.
  • Marco Dorigo, University of Brussels, Brussels, Belgium.
  • Arthur Glenberg, Department of Psychology, Arizona State University, Tempe. U.S.A.
  • Stephen J. Hanson, Psychology Department, Rutgers University, U.S.A.
  • Valerie Gray Hardcastle, Department of Philosophy, Virginia Polytechnic and State University, Blacksburg, U.S.A.
  • Sebastien Helie, Department of Psychological Sciences, Purdue University, U.S.A.
  • Vasant Honavar, Department of Computer Science, Iowa State University, U.S.A.
  • Rajiv Khosla, La Trobe University, Melbourne, Australia.
  • Robert Kozma, University of Memphis, U.S.A.
  • Daniel Levine Department of Psychology, University of Texas at Arlington, U.S.A.
  • Risto Miikkulainen, Department of Computer Science, University of Texas, Austin, U.S.A.
  • Frank Ritter, College of Information Sciences and Techonology, Pennsylvania State University, U.S.A.
  • Christian Schunn, Department of Psychology, University of Pittsburgh, U.S.A.
  • Ron Sun, Department of Cognitive Science, Rensselaer Polytechnic Institute, U.S.A.
  • Paul Thagard , Philosophy Department, University of Waterloo, Canada.
  • Stefan Wermter, University of Hamburg, Germany.
  • Ning Zhong, Department of Life Science and Informatics, Maebashi Institute of Technology, Japan.

  • Advisory Board Members
  • David Chalmers, Philosophy Program, Research School of Social Sciences, Australian National University, Canberra, Australia
  • Lee Giles, Pennsylvania State University, U.S.A.
  • James Hendler, Department of Computer Science, Rensselaer Polytechnic Institute, U.S.A.
  • Stephen M. Kosslyn, Department of Psychology, Harvard University, U.S.A.
  • Joseph LeDoux, Center for Neuroscience, New York University, U.S.A.
  • George Lakoff, Department of Linguistics, University of California, Berkeley, U.S.A.
  • Gregg Oden, Departments of Psychology and Computer science, University of Iowa, U.S.A.
  • Tim Shallice, Department of Psychology, University College, London, U.K.
  • Aaron Sloman, School of Computer Science, The University of Birmingham, U.K.
  • David Waltz, Columbia University, New York, U.S.A.

  • Past Editorial Board Members

    Editorial Policies

  • Guidelines for action editors
  • Guidelines for reviewers
  • Guidelines for prospective guest editors for special issues
  • The review form in the plain text form, and in the Latex form