Load balancing is a key concern when developing parallel and distributed computing applications. The emergence of computational grids extends this problem, where issues of cross-d...
Junwei Cao, Daniel P. Spooner, Stephen A. Jarvis, ...
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Abstract. Recent research has provided methods for coordinating the individually formed concurrent hierarchical plans (CHiPs) of a group of agents in a shared environment. A reason...
In this paper, we describe our work in developing an agent based smart house platform using TAOM4E development methodology and the JADE-platform with the Jadex-extension. In order...