An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
This paper describes STL, a new coordination model and corresponding language. STL's power and expressiveness are shown through a preliminary distributed implementation of a ...
Oliver Krone, Fabrice Chantemargue, Thierry Dagaef...
The complexity of group interaction means that there will be many uncertainties in the requirements for software support tools. Many existing software systems rely on the adaptabi...
An often claimed benefit of mobile agent technology is the reduction of communication cost. Especially the area of information filtering has been proposed for the application of...