[Computational-biology] CFP: (ECoMASS-2007) Evolutionary Computation and Multi-Agent Systems and Simulation Workshop

Sevan G. Ficici via comp-bio%40net.bio.net (by sevan from eecs.harvard.edu)
Wed Feb 14 19:34:24 EST 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 -

                               WORKSHOP ON
               Evolutionary Computation and Multi-Agent Systems
                    and Simulation Workshop (ECoMASS-2007)

                           to be held as part of the


                    July 7-11, 2007 (Saturday-Wednesday)
                         University College London
                         Gower Street
                         London WC 1E 6BT, UK
                         Organized by ACM SIGEVO


Workshop URL: http://www.eecs.harvard.edu/~sevan/ecomass07/

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.

*List of Example Topics
-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/ecomass07/ for details.

*Important Dates
Paper submission deadline: 23 March, 2007
Notification of acceptance: 30 March, 2007

*Workshop Chairs:
Dr. William Rand, Northwestern University
Dr. Sevan Ficici, Harvard University

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