Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution i...
We document our initial e orts to instantiate visuallyguided cooperative behaviors between robotic agents in the minifactory environment. Minifactory incorporates high-precision 2...
Michael L. Chen, Shinji Kume, Alfred A. Rizzi, Ral...
In this paper, we describe a framework to program open societies of concurrently operating agents. The agents maintain a subjective theory about their environment and interact with...
Rogier M. van Eijk, Frank S. de Boer, Wiebe van de...
What is the relation between the complexity of agents and the complexity of the goals that they can achieve? It is argued on the basis of a fundamental conservation of complexity ...
We study information elicitation mechanisms in which a principal agent attempts to elicit the private information of other agents using a carefully selected payment scheme based o...