Abstract- The complexity of the static scheduling problem on heterogeneous resources has motivated the development of low complexity heuristics such as list scheduling. However, th...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
In today's distributed computing environments, users are makingincreasing demands on the systems, networks, and applications they use. Users are coming to expect performance,...
Michael Katchabaw, Stephen L. Howard, Andrew D. Ma...
Abstract-- We consider problems where multiple agents cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchan...
In this paper, we describe the Architecture Description Language (ADL) that we are defining for the design of agentbased systems. This aims at filing the gap between the analysis ...