We present a novel approach to multiagent planning for self-interested agents. The main idea behind our approach is that multiagent planning systems should be built upon (single-a...
Roman van der Krogt, Nico Roos, Mathijs de Weerdt,...
We describe an effort to train a RoboCup soccer-playing agent playing in the Simulation League using casebased reasoning. The agent learns (builds a case base) by observing the be...
Implementing an extension of a legacy operating system requires knowing what functionalities the extension should provide and how the extension should be integrated with the legac...
Gilles Muller, Julia L. Lawall, Jean-Marc Menaud, ...
Robustness, through fault tolerance, is a property often put forward in order to advocate MAS. The question is: What is the first step to be fault tolerant? Obviously the answer i...
Katia Potiron, Patrick Taillibert, Amal El Fallah-...
We address the problem of users creating visualizations to debug and understand multi-agent systems. The key challenges are that (1) needs arise dynamically, i.e., it is difficult...
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedr...