Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
This paper describes LS/ATN, Living Systems R Adaptive Transportation Networks, an agent-based solution we have developed to solve transportation problems in the charter business ...
Planning under uncertainty has been well studied, but usually the uncertainty is in action outcomes. This work instead investigates uncertainty in the amount of time that actions ...
The use of the Plan Recognition/Plan Generation paradigm in the context of corporate training is discussed. The learning environment is grounded on three-level conceptual schemas ...
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...