In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
The aim of our research is to provide a unified model for the composition and management of consumer care services. We identify design, composition, distribution and management as...
Kumari Wickramasinghe, Christian Guttmann, Michael...
e-Science has much to benefit from the emerging field of grid computing. However, construction of e-Science grids is a complex and inefficient undertaking. In particular, deployme...
Initial deployment and subsequent dynamic reconfiguration of a software system is difficult because of the interplay of many interdependent factors, including cost, time, applicat...
Naveed Arshad, Dennis Heimbigner, Alexander L. Wol...
The agent metaphor has shown its usefulness for modelling as well as implementing complex and dynamic applications. Although a number of agent applications has been successfully re...
Lars Braubach, Alexander Pokahr, Dirk Bade, Karl-H...