Abstract : This paper proposes a framework for planning under uncertainty in which the initial state of the world and the effects of actions are described by possibility distributions. Two notions of solution plans are introduced : acceptable plans that lead to a goal state with a certainty greater than a given threshold, and optimal plans that lead to a goal state with maximal certainty. Simple characterizations of these plans are given and illustrated by an example in the agronomic domain.
https://hal.inrae.fr/hal-02765074
Déposant : Migration Prodinra <>
Soumis le : jeudi 4 juin 2020 - 08:23:36 Dernière modification le : mercredi 26 août 2020 - 14:58:02
Célia da Costa Pereira, Frederick Garcia, Jérôme Lang, Roger Martin-Clouaire. A possibilistic approach to planning. 4th European Congress on Intelligent Techniques and Soft Computing, Sep 1996, Aachen, Germany. ⟨hal-02765074⟩