The ability to recognize when an agent abandons a plan is an open problem in the plan recognition literature and is a significant problem if these methods are to be applied in rea...
Techniques for plan recognition under uncertainty require a stochastic model of the plangeneration process. We introduce probabilistic state-dependent grammars (PSDGs) to represen...
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Abstract. When agents coordinate according to the principles of teamwork they can flexibly, robustly and reliably achieve complex goals in complex, dynamic and even hostile enviro...
The results of the latest International Probabilistic Planning Competition (IPPC-2008) indicate that the presence of dead ends, states with no trajectory to the goal, makes MDPs h...