Call For Papers
Call for Papers: Advances in Complex Systems - Topical Issue on Guided Self-Organization
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.
* TOPICS AND SUBMISSION
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: http://www.worldscinet.com/acs/
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: http://www.worldscinet.com/acs/mkt/guidelines.shtml
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
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  21 February 2012
- notification: 30 April 2012
- camera-ready papers: 31 May 2012
* INSTRUCTIONS FOR AUTHORS
Follow the contributor guidelines and use the LaTeX style file found at the ACS web page containing instructions for authors. Then to submit your paper:
1. Log in as an author at:
If you do not have an account, please create one, but if you have an account, please make sure that you use the existing one.
2. Under "New Submissions", select the link "Submit New Manuscript".
3. For Artical Type, select "Topical Issue Paper".
4. Enter Title/Authors of the paper in the corresponding entries.
5. When prompted for "Select Section/Category", click on "Topical Issue on Guided Self-Organization"
Daniel Polani, Larry Yaeger, Mikhail Prokopenko