In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Lack of time and capital for software testing is an oft encountered problem in most organizations. The plethora of possible test cases for each software component makes software t...
Sunitha Ramanujam, Hany F. El Yamany, Miriam A. M....
Holonic Multi-Agent Systems (HMAS) are a convenient way to engineer complex and open systems. In such systems, agents have to be able to self-organize to satisfy their goals. Our w...
Sebastian Rodriguez, Nicolas Gaud, Vincent Hilaire...
— This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous ...
There is a growing demand for Multi-Agent Systems (MAS) in the software industry. The autonomous agent interaction in a dynamic software environment can potentially lead to runtim...