Over the last few years there has been a revival of interest in the idea of least-commitment planning with a number of researchers returning to the partial-order planning approach...
Amanda Jane Coles, Andrew Coles, Maria Fox, Derek ...
Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...
Experiment design and execution is a central activity in the natural sciences. The SeqERsystem provides a general architecture for the integration of automated planning techniques...
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
In a real planning problem, there exists a set of constraints (both temporal constraints and resource usage constraints) which must be satisfied in order to obtain a feasible plan....
Antonio Garrido Tejero, Miguel A. Salido, Federico...
In this paper, we outline the requirements of a planning and decision aid to support US Army small unit operations in urban terrain and show how AI planning technologies can be ex...
Austin Tate, John Levine, Peter Jarvis, Jeff Dalto...
The formulation of planning as heuristic search with heuristics derived from problem representations has turned out to be a fruitful approach for classical planning. In this paper...
The main problem of planning is to find a sequence of actions that an agent must perform to achieve a given objective. An important part of planning is checking whether a given pl...
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...
Planning is known to be a difficult task. One of the approaches used to reduce this difficulty is problem decomposition under divide-and-conquer methodology. This paper introduce...