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Digital Library of the
European Council for Modelling and Simulation |
Title: |
EPMAS:
Evolutionary Programming Multi-Agent Systems |
Authors: |
Ana M. Peleteiro, Juan
C. Burguillo, Zuzana Oplatková, Ivan Zelinka |
Published in: |
(2010).ECMS
2010 Proceedings edited by A Bargiela S A Ali D
Crowley E J H Kerckhoffs. European Council for
Modeling and Simulation. doi:10.7148/2010 ISBN:
978-0-9564944-1-2 24th
European Conference on Modelling and Simulation, Simulation Meets Global Challenges Kuala
Lumpur, June 1-4 2010 |
Citation
format: |
Peleteiro, A. M., Burguillo,
J. C., Oplatková, Z., & Zelinka,
I. (2010). EPMAS: Evolutionary Programming Multi-Agent Systems. ECMS 2010
Proceedings edited by A Bargiela S A Ali D Crowley
E J H Kerckhoffs (pp. 27-33). European Council for
Modeling and Simulation. doi:10.7148/2010-0027-0033 |
DOI: |
http://dx.doi.org/10.7148/2010-0027-0033 |
Abstract: |
Evolutionary
Programming (EP) seems a promising methodology to automatically find programs
to solve new computing challenges. The Evolutionary Program- ming techniques use classical genetic operators
(selection, crossover and mutation) to automatically generate pro- grams
targeted to solve computing problems or specifica- tions. Among the methodologies related with Evolutionary
Programming we can find Genetic Programming, An- alytic
Programming and Grammatical Evolution. In this paper we present the
Evolutionary Programming Multi- agent Systems (EPMAS) framework based on Grammat- ical Evolution (GE) to
evolutionary generate Multi-agent systems (MAS) ad-hoc. We also present two
case stud- ies in MAS scenarios for applying our
EPMAS frame- work: the predator-prey problem and the Iterative Prisoner’s
Dilemma. |
Full
text: |