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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Ipseity – A Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-agent Systems
verfasst von : Fabrice Lauri, Nicolas Gaud, Stéphane Galland, Vincent Hilaire
Erschienen in: Machine Learning and Knowledge Discovery in Databases
Verlag: Springer Berlin Heidelberg
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This article presents an overview on
Ipseity
[1], an opensource rich-client platform developed in C++ with the
Qt
[2] framework.
Ipseity
facilitates the synthesis of artificial cognitive systems in multi-agent systems. The current version of the platform includes a set of plugins based on the classical reinforcement learning techniques like Q-Learning and Sarsa.
Ipseity
is targeted at a broad range of users interested in artificial intelligence in general, including industrial practitioners, as well as machine learning researchers, students and teachers. It is daily used as a course support in Artificial Intelligence and Reinforcement Learning and it has been used successfully to manage power flows in simulated microgrids using multi-agent reinforcement learning [4].