[Comp-neuro] CFP: Advances in Complex Systems, Topical Issue on GSO

Larry Yaeger larryy at pobox.com
Thu Oct 6 03:39:47 CEST 2011


Call for Papers: Advances in Complex Systems - Topical Issue on Guided



The goal of Guided Self-Organization (GSO) research is to leverage the
strengths of self-organization while still being able to direct the
outcome of the self-organizing process. The ACS Topical Issue on
Guided Self-Organization aims to condense the current state-of-art in
guided self-organizing systems, including, but not limited to
information- and graph-theoretic foundations of GSO and the
information dynamics of cognitive systems.

A number of attempts have been made to formalize aspects of GSO within
information theory and dynamical systems: empowerment,
information-driven evolution, robust overdesign, reinforcement-driven
homeokinesis, predictive information-based homeokinesis, interactive
learning, etc. However, the lack of a broadly applicable mathematical framework
across multiple scales and contexts leaves GSO methodology incomplete.
Devising such a framework and identifying common principles of
guidance are the main themes of GSO.


Following the success of the GSO 2010 and 2011 International Workshops
on Guided Self-Organization, we are pleased to announce an open Call
for Papers for a Topical Issue on Guided Self-Organization of the
Advances in Complex Systems Journal. We solicit original research
articles in the field of Guided Self-Organization. Research articles
will be peer-reviewed and selected articules published in the Topical
Issue of the ACS journal.

Advances in Complex Systems (ACS) is a peer-reviewed journal providing
a multi-disciplinary perspective to the study of complex systems:

ACS predominantly publishes original research articles in the field of
complex systems and encourages submissions of papers which result from
collaborations across traditional academic disciplines. As a
peer-reviewed journal, ACS is committed to the highest scientific
standards. Papers published in ACS should be written in a way that
makes them accessible to a wide range of scientific disciplines. For
details, please see the Guidelines for Contributors in this journal:

Suitable topics are theoretical, simulative and experimental studies
on various aspects of self-organization, including, but not limited to

   - phenomena and mathematical/theoretical formalizations of GSO
   - information-theoretic, graph-theoretic statistical-physics and other
     models of GSO
   - collective and/or cognitive models and incarnations of GSO
   - machine learning in cyber-physical systems
   - simulations and experiments
   - novel GSO paradigms or experiments

For a guide and additional background on GSO, we refer to the 2010 and
2011 Guided Self-Organization Workshops:

We solicit original articles in the field of GSO, and in particular
encouraging the submission of not previously published contributions
based on work presented at GSO 2010 and 2011, but also entirely novel
work with clear connections to Guided Self-Organization.

Manuscripts should present original research that has not been
published and is not under consideration for publication elsewhere.


The reviewing process will be supervised by guest Editors (Daniel
Polani, Larry Yaeger and Mikhail Prokopenko), together with the
Editorial Board of the ACS.


Deadlines are as follows:

    - expression of interest (tentative title and list of authors) to
      guest editors : 4. November 2011
    - submission to ACS: 31 January 2012
    - notification: 30 April 2012
    - camera-ready papers: 31 May 2012

Details about the submission modalities will be provided closer to the

Kind regards,
Daniel Polani, Larry Yaeger, Mikhail Prokopenko

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