Abstract. The availability of massive amounts of biological data, distributed in various data sources, has prompted the development of a wide range of data analysis tools. However,...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Whilst tools assist the various tasks required to develop a multi-agent system (MAS), yet there still remains a gap between the generation of MAS models and program code. AUML dev...
Performance measurement of large distributed multiagent systems (MAS) offers challenges that must be addressed explicitly in the agent infrastructure. Performance data is widely d...
Aaron Helsinger, Richard Lazarus, William Wright, ...
In this paper we propose viewing Virtual Worlds as open Multiagent Systems and propose the 3D Electronic Institutions methodology for their development. 3D Electronic Institutions ...
Anton Bogdanovych, Marc Esteva, Simeon J. Simoff, ...