Generation of Strong Cyclic Plans with Incomplete Information and Sensing

Luca Iocchi, Daniele Nardi, Riccardo Rosati.
Intelligenza Artificiale, volume 2, number 4, pages 58-65, 2005. ISSN 1724-8035.

Abstract:

Dealing with incomplete information and sensing is needed in order to design agents that operate in domains where their information acquisition capabilities are restricted and the environment may evolve in unpredictable ways. These representation issues have been studied both by the work on reasoning about actions and from a planning perspective. The aim of this paper is to present a language KL for expressing planning domains with incomplete knowledge and sensing and by providing a new technique for generating cyclic plans under partial observability in such a framework.

Bibtex entry:

@String{IA = "Intelligenza Artificiale"}

@Article{IoNR05,
author = "Luca Iocchi and Daniele Nardi and Riccardo Rosati",
title = "Generation of Strong Cyclic Plans with Incomplete Information and Sensing",
journal = IA,
volume = 2,
number = 4,
pages = "58--65",
year = 2005,
issn = "1724-8035",
}