Reasoning about actions with imprecise and incomplete state descriptions

Authors:
Célia da Costa Pereira;Andrea G. B. Tettamanzi
Affiliations:
Dipartimento di Tecnologie dell'Informazione, Università degli Studi di Milano, Via Bramante 65, I-26013 Crema (CR), Italy;Dipartimento di Tecnologie dell'Informazione, Università degli Studi di Milano, Via Bramante 65, I-26013 Crema (CR), Italy
Venue:
Fuzzy Sets and Systems
Year:
2009

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Abstract

This article is a first step in the direction of extending possibilistic planning to account for incomplete and imprecise knowledge of the world state. Fundamental definitions are given and the possibilistic planning problem is recast in this new setting. Finally, it is shown that, under certain conditions, possibilistic planning with imprecise and incomplete state descriptions is no harder than possibilistic planning with crisp and complete information.