Ipseity: An Open-Source Platform for Synthesizing and Validating Artificial Cognitive Systems in MAS

This article presents an overview of Ipseity, an open-source platform developed in C++ with the Qt framework. The current version of the platform includes a set of plugins implementing single-agent and multi-agent environments, hardcoded controllers based on Artificial Intelligence (AI) techniques, classical Reinforcement Learning (RL) techniques like Q-Learning, Sarsa, Epsilon-Greedy combined with some linear function approximators, as well as a Machine Learning (ML) technique for Apprenticeship Learning (AL). Its architecture allows users to execute standard AI approaches as well as model-based, model-free, offline, online, standard and approximated RL algorithms. Ipseity is targeted at a broad range of users interested in AI in general, including industrial practitioners, as well as ML researchers, students and teachers. It is regularly used as a course support in Artificial Intelligence and it has been used successfully to manage power flows in simulated microgrids using multiagent reinforcement learning.