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...
We demonstrate an intelligent personal assistant agent that has been developed to aid a busy knowledge worker in managing time commitments and performing tasks. The PExA agent dra...
Hung Hai Bui, Federico Cesari, Daniel Elenius, Dav...
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Holonic multiagent systems (HMAS) offers a promising software engineering approach for developing complex open software systems. However the process of building MultiAgent Systems...
Massimo Cossentino, Nicolas Gaud, Vincent Hilaire,...
Security plays an important role in the development of multiagent systems. However, a careful analysis of software development processes shows that the definition of security requ...
Haralambos Mouratidis, Paolo Giorgini, Gordon A. M...