Automatically assigned DDC number: 0063

Manually assigned DDC number: 006333

Number of references: 4

Title: Modeling Probabilistic Actions for Practical Decision-Theoretic Planning

Author:

Subject: Anhai Doan Modeling Probabilistic Actions for Practical Decision-Theoretic Planning

Description: Most existing decision-theoretic planners represent uncertainty about the state of the world with a precisely specified probability distribution over world states. This representation is not expressive enough to model many interesting classes of practical planning problems, and renders inapplicable some abstractionbased planning approaches. In this paper we propose as a remedy a more general world and action model with a well-founded semantics based on probability intervals. We introduce the concept of interval mass assigment. Unlike mass assignments, which assign a probability mass to each set of states, interval mass assignments assign a probability interval to each set of states and are more expressive. Interval mass assignments are interpreted as representing sets of probability distributions and are used in our framework to represent the uncertainty about the state of the world. Within this representation, we present a projection rule and a method for computing a plan's expected u...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1996-07-18

Pubyear: 1996

Format: ps

Identifier: http://citeseer.ist.psu.edu/143035.html

Source: ftp://ftp.cs.uwm.edu/pub/tech_reports/ai/doan-aips96.ps.Z

Language: en

Relation:

Relation:

Relation:

Relation:

Rights: unrestricted

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