Show all publications

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

Download PDFDownload Bibliography in Open DocumentDownload Bibliography in HTMLDownload BibTeXDownload RISDownload Bibliographical Ontology (RDF)
In Proc. of European Conference on Machine Learning, 2013.
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.
Multi-Agent Systems, Reinforcement Learning, Artificial Cognitive Systems
Publication Category:
International conference with proceedings
Copyright 2010-2019 © Laboratoire Connaissance et Intelligence Artificielle Distribuées - Université Bourgogne Franche-Comté - Privacy policy