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GECCO Workshop: ECoMASS 2008

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  • sevanf
    - C A L L F O R P A P E R S - C A L L F O R P A P E R S - WORKSHOP ON Evolutionary Computation and Multi-Agent Systems and Simulation Workshop
    Message 1 of 1 , Dec 7, 2007
      - C A L L F O R P A P E R S - C A L L F O R P A P E R S -

      Evolutionary Computation and Multi-Agent Systems
      and Simulation Workshop (ECoMASS-2008)

      to be held as part of the


      July 12-16, 2008 (Saturday-Wednesday)
      Atlanta, Georgia, USA
      Organized by ACM SIGEVO


      Workshop URL: http://www.eecs.harvard.edu/~sevan/ecomass08/

      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 on all aspects of
      Evolutionary Computation and Multi-Agent Systems and Simulation, which
      include (but are not limited to) the followign topics and themes:

      -Multi-agent systems and agent-based models utilizing evolutionary
      -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
      See http://www.eecs.harvard.edu/~sevan/ecomass08/ for details.

      *Important Dates
      Paper submission deadline: 21 March, 2008
      Notification of acceptance: 2 April, 2008

      *Workshop Chairs:
      Sevan Ficici, Harvard University
      William Rand, Northwestern University
      Rick Riolo, University of Michigan
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