Planning under temporal uncertainty indurative actions

Authors:
J. Antonio Alvarez;Laura Sebastia;Eva Onaindia
Affiliations:
Dpto. Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain;Dpto. Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain;Dpto. Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
Venue:
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
Year:
2006

Citing 1
Cited 0

Planning under continuous time and resource uncertainty: a challenge for AI

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recently, planning under temporal uncertainty is becoming a very important and active field within the AI planning community. In this paper we present a new approach to handle planning problems with uncertain duration of actions. The novelty of this approach is that the management of the temporal uncertainty in durative actions is done independently of the planning process itself, which allows us to reduce the problem complexity. The experiments will show that we are able to obtain a plan that satisfies the user requirements for all the tested cases. Consequently, this work can be considered as a promising approach to handle this type of problems.