Evolving object oriented agent programs in Robocup domain

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Evolving object oriented agent programs in Robocup domain

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 2005 workshops on Genetic and evolutionary computation table of contents

Washington, D.C.

SESSION: UGWS contributions table of contents

Pages: 407 - 410

Year of Publication: 2005

Authors

David E. Suárez	Universidad Distrital, Microelectronic and Computational, Intelligence (LAMIC), Bogotá, Colombia
Julián Y. Olarte	Universidad Distrital, Microelectronic and Computational, Intelligence (LAMIC), Bogotá, Colombia
Sergio A. Rojas	Universidad Distrital, Microelectronic and Computational, Intelligence (LAMIC), Bogotá, Colombia

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ACM New York, NY, USA

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Downloads (6 Weeks): 1, Downloads (12 Months): 16, Citation Count: 1

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ABSTRACT

This paper describes 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.

REFERENCES

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