We develop an algorithm for merging plans that are represented in a richly expressive language. Speci cally, weare concerned with plans that have i quantitative temporal constrain...
Ioannis Tsamardinos, Martha E. Pollack, John F. Ho...
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...
Hypermedia structured in terms of the higher-level intent of its author can be adapted to a wider variety of final presentations. Many multimedia systems encode such highlevel int...
Lloyd Rutledge, Brian Bailey, Jacco van Ossenbrugg...
Recent work on planning in incomplete domains focuses on constructing plans that succeed despite incomplete knowledge of action preconditions and effects. As planning models becom...
We present the first planner capable of reasoning with both the full semantics of PDDL2.1 (level 3) temporal planning and with numeric resources. Our planner, CRIKEY3, employs heu...