Efficient access to distributed and dynamic multidimensional data is vital for applications in large, heterogeneous, decentralised, resource-sharing environments such as Grids an...
—The scale, heterogeneity and dynamism of Grid applications and environments require Grid applications to be self-managing or autonomic. This paper presents the Accord autonomic ...
Hua Liu, Viraj Bhat, Manish Parashar, Scott Klasky
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
The central problem that this paper addresses is how to manage dynamic change within game environments in response to variable player requirements and ability. In particular, we di...