Between sensing the world after every action (as in a reactive plan) and not sensing at all (as in an openloop plan), lies a continuum of strategies for sensing during plan execut...
We dene the probabilistic planning problem in terms of a probability distribution over initial world states, a boolean combination of goal propositions, a probability threshold, ...
MostAI representations and algorithms for plan generation havenot included the concept of informationproducingactions (also called diagnostics, or tests, in the decision making li...
Manyreal-world planning problems require generating plans that maximizethe parallelism inherent in a problem. There are a numberof partial-order planners that generate such plans;...
A planning problem is time-dependent, if the time spent planning affects the utility of the system's performance. In [Dean and Boddy, 1988], we define a framework for constru...