@inproceedings{Suarez:gecco05ws,
title = {Evolving Object Oriented Agent Programs in Robocup
Domain},
address = {Washington, D.C., USA},
author = {David Enrique {Suarez Pinzon} and Julian Yezid {Olarte
Ramos} and Sergio Andres {Rojas Galeano}},
booktitle = {Genetic and Evolutionary Computation Conference
{(GECCO2005)} workshop program},
editor = {Franz Rothlauf and Misty Blowers and J{\"u}rgen Branke and Stefano Cagnoni and Ivan I. Garibay and Ozlem Garibay and J{\"o}rn Grahl and Gregory Hornby and Edwin D. {de Jong} and Tim Kovacs and Sanjeev Kumar and Claudio F. Lima and Xavier Llor{\`a} and Fernando Lobo and Laurence D. Merkle and Julian Miller and Jason H. Moore and Michael O'Neill and Martin Pelikan and Terry P. Riopka and Marylyn D. Ritchie and Kumara Sastry and Stephen L. Smith and Hal Stringer and Keiki Takadama and Marc Toussaint and Stephen C. Upton and Alden H. Wright},
month = {25-29 June},
pages = {407--410},
publisher = {ACM Press},
url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005wks/papers/0407.pdf},
year = {2005},
abstract = {We describe the application of object oriented genetic
programming to the automatic generation of agents under
the Object Oriented Paradigm. To generate the agent
programs code, we evolve concurrently the methods that
represent the agent-environment interaction. We use
like terminals and operations the objects that
correspond to the context elements. This study uses the
simulation league of the Robot World Cup (Robocup) like
a testing environment. The fitness function used
evaluates the behavior of agent player in several
levels that indicates the learning progress. The
experimental results indicate that is possible the
agent programs evolution under the Object Oriented
Paradigm.},
notes = {Distributed on CD-ROM at GECCO-2005. ACM
1-59593-097-3/05/0006},
keywords = {algorithms, genetic programming }
}
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