This paper describes a study of the evolution of distributed behavior, specifically the control of agents in a mobile ad hoc network, using neuroevolution. In neuroevolution, a p...
David B. Knoester, Heather Goldsby, Philip K. McKi...
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Our work presents a mechanism designed for the selection of the optimal information provider in a multi-agent, heterogeneous and unsupervised monitoring system. The selfadaptation...
Increasingly complex supplier-relationships dominate product development, independent of industries and products. Mostly the primary source of risks and later problems is insuffic...
Manuel Reis Monteiro, Christof Ebert, Matthias Rec...
The objective of the Market Blended Insight (MBI) project is to develop web based techniques to improve the performance of UK Business to Business (B2B) marketing activities. The a...
Landong Zuo, Manuel Salvadores, S. M. Hazzaz Imtia...