Planning with rich goals, preferences and procedural operators via reformulation

Article type: Other

Authors: Baier, Jorge A.

Affiliations: Departamento de Ciencia de la Computación, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago, Chile. E-mail: jabaier@ing.puc.cl

Abstract: We summarize the main contributions of the thesis “Effective search techniques for non-classical planning via reformulation”, which received an Honorable Mention for the ICAPS Best Dissertation Award, 2011. The thesis explored how to leverage state-of-the-art classical planning techniques in order to solve compelling non-classical planning problems such as planning with temporally extended goals and preferences, planning with procedural control and planning with procedural operators.

Keywords: Planning, temporally extended goals, preferences, procedural search control

DOI: 10.3233/AIC-2011-0507

Journal: AI Communications, vol. 24, no. 4, pp. 347-348, 2011