>>
>> - 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
>
>
>
>
>
--
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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