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Erschienen in:
2008 | OriginalPaper | Buchkapitel
getALife - An Artificial Life Environment for the Evaluation of Agent-Based Systems and Evolutionary Algorithms for Reinforcement Learning
verfasst von : Daniel Machado, Miguel Rocha
Erschienen in: New Challenges in Applied Intelligence Technologies
Verlag: Springer Berlin Heidelberg
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An
Artificial Life
environment -
getALife
- is proposed, whose major aim is to provide a framework to evaluate single and multi-agent systems and evolutionary approaches to the development of reinforcement learning algorithms. The environment is based on a predator-prey scenario, with multiple species and where individuals are mainly characterized by their decision modules and genetic information. The platform is quite powerful, flexible, modular, visually attractive, easy to program and to use, making an interesting tool both to research and teaching. Two applications based on
getALife
are provided: the evaluation of a
Neural Network
based decision module with evolutionary learning and the development of a children’s game.