In this paper, a model is proposed for multi-agent probabilistic reasoning in a distributed environment. Unlike other methods, this model is capable of processing input in a truly...
Abstract. The notions of role and organization have often been emphasized in several agent oriented methodologies. Sadly, the notion of interaction has seldom been reified in these...
Philippe Mathieu, Jean-Christophe Routier, Yann Se...
Information-based agency is founded on two observations: everything in an agent’s world model is uncertain, and everything that an agent communicates gives away valuable informa...
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...
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...