Representing plans under uncertainty: A logic of time, chance, and action

As the limitations of traditional AI plan representations have become apparent, researchers have turned to temporal logic as one means of providing rich languages for structuring planning knowledge. But these languages lack the ability to represent uncertainty, as well as lacking any kind of link to a theory of rational behavior. Decision Theory provides a normative model of choice under uncertainty such that recommended choices can be said to be rational under a well-defined notion of rationality. But traditional decision-theoretic representations are limited in their ability to structure knowledge other than beliefs and preferences.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Haddawy, Peter Fahrid

Contributors dc:contributor

• Frisch, Alan M.

• Computer Science
• Mathematics
• Artificial Intelligence

Statement dc:rights

• Copyright 1991 Haddawy, Peter Fahrid

Language dc:language

eng

Identifier

AAI9210823
(UMI)AAI9210823

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/23146