Abstract. This paper describes DCaseLP, a multi-language development environment for Multi-Agent Systems. DCaseLP provides tools and languages for modelling and implementing a MAS ...
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
A new age of heterogeneous resource integration has begun. Next generation of integration systems will utilize different methods and techniques to achieve the vision of ubiquitous...
Oleksiy Khriyenko, Oleksandr Kononenko, Vagan Y. T...
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems. The following are key drivers...
W. T. Luke Teacy, Jigar Patel, Nicholas R. Jenning...