Ipseity - A Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-Agent Systems
Abstract
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].
Cite
Text
Lauri et al. "Ipseity - A Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-Agent Systems." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013. doi:10.1007/978-3-642-40994-3_45Markdown
[Lauri et al. "Ipseity - A Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-Agent Systems." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013.](https://mlanthology.org/ecmlpkdd/2013/lauri2013ecmlpkdd-ipseity/) doi:10.1007/978-3-642-40994-3_45BibTeX
@inproceedings{lauri2013ecmlpkdd-ipseity,
title = {{Ipseity - A Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-Agent Systems}},
author = {Lauri, Fabrice and Gaud, Nicolas and Galland, Stéphane and Hilaire, Vincent},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2013},
pages = {641-644},
doi = {10.1007/978-3-642-40994-3_45},
url = {https://mlanthology.org/ecmlpkdd/2013/lauri2013ecmlpkdd-ipseity/}
}