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Ipseity - a Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-Agent Systems

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In Proc. of European Conference on Machine Learning, 2013.
Abstract:
This article presents an overview on Ipseity, an open-source rich-client platform developed in C++ with the Qt 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.
Keywords:
Multi-Agent Systems, Reinforcement Learning, Artificial Cognitive Systems
Publication Category:
International conference with proceedings
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