An autonomic system is structured as a network of autonomic elements that collaborate to achieve the system’s purpose. This paper examines the potential benefit of using well-es...
David W. Bustard, Roy Sterritt, A. Taleb-Bendiab, ...
Interest for computational trust and reputation models is on the rise. One of the most important aspects of these models is how they deal with information received from other indi...
In this paper, we report on experiments with a core system for autonomous navigation in outdoor natural terrain. The system consists of three parts: a perception module which proc...
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
The concepts of autonomous agent and multi-agent system appropriate levels of abstraction for the design, implementation and simulation of many complex, distributed computational s...
Michael Luck, Peter McBurney, Jorge Gonzalez-Palac...