In this paper, we assess five tools that allow the specification and execution of Multi-agent based simulations. These tools are NetLogo, MASON, Ascape, RePastS and DIVAs
S. Arunachalam, Rym Zalila-Wenkstern, Renee Steine...
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
This paper presents ELMS, a language used for the specification of multi-agent environments. This language is part of the MAS-SOC approach to the design and implementation of mult...