>
> - FINAL CALL FOR PAPERS - FINAL CALL FOR PAPERS -
>
> WORKSHOP ON
> Evolutionary Computation and Multi-Agent Systems
> and Simulation Workshop (ECoMASS-2010)
>
> to be held as part of the
>
> 2010 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2010)
>
> July 7-11, 2010 (Wednesday-Sunday)
> Portland Marriott Downtown Waterfront Hotel
> Portland, Oregon, USA
> Organized by ACM SIGEVO
> www.sigevo.org/GECCO-2010/
>
> PAPER SUBMISSION DEADLINE FOR WORKSHOP: March 25, 2010
>
>
> Workshop URL: http://www.cscs.umich.edu/ecomass/
>
> ---------------------------------------------------------------
> 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
> See http://www.cscs.umich.edu/ecomass/ for details.
>
> *Important Dates
> Paper submission deadline: 25 March, 2010
> Notification of acceptance: 1 April, 2010
> Final Papers Due: 13 April, 2010
> Registration Deadline: 19 April, 2010
>
> *Workshop Chairs:
> Bill Rand, University of Maryland
> Rick Riolo, University of Michigan
>
> 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).
> --
> William Rand
> Asst. Prof. in Marketing, DO&IT, and Computer Science
> Director of Research, Center for Complexity in Business
> http://www.rhsmith.umd.edu/ccb/
> 3457 Van Munching Hall
> University of Maryland
> College Park, Maryland 20742
> Phone: 301-405-7229
> Fax: 301-405-0146
>
>
>
>
>
--
William Rand
Asst. Prof. in Marketing, DO&IT, and Computer Science
Director of Research, Center for Complexity in Business
http://www.rhsmith.umd.edu/ccb/
3457 Van Munching Hall
University of Maryland
College Park, Maryland 20742
Phone: 301-405-7229
Fax: 301-405-0146
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