Dealing with temporality on actions presents an important challenge to AI planning. Unlike Graphplan-based planners which alternate levels of propositions and actions in a regular ...
Antonio Garrido Tejero, Eva Onaindia, Federico Bar...
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
We examine the computational complexity of testing and nding small plans in probabilistic planning domains with both at and propositional representations. The complexity of plan e...
Michael L. Littman, Judy Goldsmith, Martin Mundhen...
Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We...