In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
To realize large-scale socially embedded multiagent systems, this paper proposes a new system design methodology towards society-centered design. We have already developed the scen...
We describe an approach for building and testing software for ubiquitous computing. The approach provides application-level emulators of ubiquitous devices. Since each emulator is...
This paper describes the first impressions of the development of a multi-agent system that can be used for visualising simulated pedestrian activity and behaviour to support the a...
The purpose of this paper is to introduce a multi-agent model for plan synthesis in which the production of a global shared plan is based on a promising unified framework based on...