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Evolutionary Computing and Multi-Agent Systems and Simulation, 2nd CFP

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  • Bill Rand
    - 2nd CALL FOR PAPERS - 2nd CALL FOR PAPERS - SEVENTH ANNUAL WORKSHOP ON Evolutionary Computation and Multi-Agent Systems and Simulation Workshop
    Message 1 of 1 , Feb 19, 2013
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      - 2nd CALL FOR PAPERS - 2nd CALL FOR PAPERS -

      SEVENTH ANNUAL WORKSHOP ON
      Evolutionary Computation and Multi-Agent Systems
      and Simulation Workshop (ECoMASS-2013)


      to be held as part of the


      2013 Genetic and Evolutionary Computation Conference (GECCO-2013)
      July 06-10, Amsterdam, The Netherlands
      Organized by ACM SIGEVO
      http://www.sigevo.org/gecco-2013


      PAPER SUBMISSION DEADLINE FOR WORKSHOP: March 28, 2013


      Workshop URL: https://sites.google.com/site/ecomassworkshop/



      ----------------------------------------------------------
      Evolutionary computation (EC) and multi-agent systems and simulation
      (MASS) both involve populations of agents. EC is a learning technique
      by which a population of individual agents adapt according to the
      selection pressures exerted by an environment; MASS seeks to
      understand how to coordinate the actions of a population of (possibly
      selfish) autonomous agents that share an environment so that some
      outcome is achieved. Both EC and MASS have top-down and bottom-up
      features. For example, some aspects of multi-agent system engineering
      (e.g., mechanism design) are concerned with how top-down structure can
      constrain or influence individual decisions. Similarly, most work in
      EC is concerned with how to engineer selective pressures to drive the
      evolution of individual behavior towards some desired goal. Multi-agent
      simulation (also called agent-based modeling) addresses the bottom-up
      issue of how collective behavior emerges from individual action.
      Likewise, the study of evolutionary dynamics within EC (for example in
      coevolution) often considers how population-level phenomena emerge from
      individual-level interactions. Thus, at a high level, we may view EC and
      MASS as examining and utilizing analogous processes. It is therefore
      natural to consider how knowledge gained within EC may be relevant to
      MASS, and vice versa; indeed, applications and techniques from one field
      have often made use of technologies and algorithms from the other field.
      Studying EC and MASS in combination is warranted and has the potential
      to contribute to both fields.


      The goal of this workshop is to facilitate the examination and
      development of techniques at the intersection of evolutionary
      computation and multi-agent systems and simulation.


      The ECoMASS workshop welcomes original submissions in the theory and
      practice on all aspects of Evolutionary Computation and Multi-Agent
      Systems and Simulation, which include (but are not limited to) the
      following topics and themes:


      - Multi-agent systems and agent-based models utilizing evolutionary
      computation
      - Optimization of multi-agent systems and agent-based models using
      evolutionary computation
      - Evolutionary computation models which rely not on explicit fitness
      functions but rather implicit fitness functions defined by the
      relationship to other individuals / agents
      - Applications utilizing MASS and EC in combination
      - Biological agent-based models (usually called individual-based
      models) involving evolution
      - Evolution of cooperation and altruism
      - Genotypic representation of the complex phenotypic strategies of MASS
      - Evolutionary learning within MASS (including Baldwinian learning and
      phenotypic plasticity)
      - Emergence and feedbacks
      - Open-ended strategy spaces and evolution
      - Adaptive individuals within evolving populations


      *Paper Submission
      Each accepted paper will be presented orally at the workshop and
      distributed in the workshop proceedings to all GECCO attendees. Authors
      should follow the format of the GECCO manuscript style; refer to
      http://www.sigevo.org/gecco-2013/ for details. Manuscripts should not
      exceed 8 pages. Papers should be submitted by 28 March, 2013 in
      PDF format to: forrest.stonedahl@... with
      "ECoMASS paper submission" in the subject line.


      *Important Dates
      Paper submission deadline: 28 March, 2013
      Notification of acceptance: April 15, 2013
      Camera-Ready Accepted Papers Due: April 25, 2013


      *Workshop Chairs
      Bill Rand, University of Maryland
      Forrest Stonedahl, Centre College


      *Workshop Program Committee
      Mitchell Colby, Oregon State University
      Matt Knudson, NASA Ames Research Center
      Rinde van Lon, KU Leuven (Belgium)
      Michael North, Argonne National Laboratory
      Jim Reggia, University of Maryland
      Robert G. Reynolds, Wayne State University
      Rick Riolo, University of Michigan
      Moshe Sipper, Ben-Gurion University
      Logan Yliniemi, Oregon State University
      Tina Yu, Memorial University of Newfoundland


      GECCO is sponsored by the Association for Computing Machinery Special
      Interest Group on Genetic and Evolutionary Computation (SIGEVO). SIG
      Services: 2 Penn Plaza, Suite 701, New York, NY, 10121, USA,
      1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).
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