In a team-based multiagent system, the ability to construct a model of an opponent team's joint behavior can be useful for determining an agent's expected distribution o...
ObjectAgent is an agent-based, message-passing software architecture that utilizes natural language processing to provide autonomous control to complex systems. As a form of distr...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
For an agent to intelligently use specifications of executable protocols, it is necessary that the agent can quickly and correctly assess the outcomes of that protocol if it is ex...
The increasing importance of the Internet has motivated the exploration of new execution models based on mobile and dynamic entities to overcome the limits of the client/server mo...