We consider real-time multi-agent coordination in a dynamic and uncertain domain addressing both distributed state information and partial knowledge of the common reward function....
Rajiv T. Maheswaran, Craig Milo Rogers, Romeo Sanc...
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information abou...
Michael Rovatsos, Felix A. Fischer, Gerhard Wei&sz...
The paper presents a method for uncertainty propagation in Bayesian networks in symbolic, as opposed to numeric, form. The algebraic structure of probabilities is characterized. Th...
Given a collection of points representing geographic data we consider the task of delineating boundaries based on the features of the points. Assuming that the features are binary...
- Organizations need to build and use knowledge to remain viable in the face of competition and change. Due to the limits of organization and the bounded rationality of individuals...