Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/44791
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Type: Conference paper
Title: Concurrent temporal planning using timed petri nets - policy evaluation
Author: Liew, E.
White, L.
Citation: AI 2007: Advances in Artificial Intelligence 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2-6, 2007. Proceedings / pp.727-731
Publisher: Springer
Publisher Place: Berlin
Issue Date: 2007
Series/Report no.: LECTURE NOTES IN COMPUTER SCIENCE
ISBN: 9783540769262
ISSN: 0302-9743
1611-3349
Conference Name: AI 2007: Advances in Artificial Intelligence (2007 : Gold Coast, Australia)
Statement of
Responsibility: 
Melissa Liew and Langford B. White
Abstract: This paper is the first in a series which address the development of a temporal planner using timed Petri net (TPN) models of concurrent temporal plans. Unlike previous work which uses Petri net unfoldings to develop partially ordered plans (in the untimed case), the approach presented here is purely algebraic, and is based on a (min,max,+) discrete event dynamical system description of a TPN. This paper focuses primarily on policy evaluation, with subsequent work detailing how to use this approach for efficient optimal temporal planning.
Description: The definitive version can be found at www.springerlink.com
Rights: © Springer
RMID: 0020075315
DOI: 10.1007/978-3-540-76928-6
Appears in Collections:Electrical and Electronic Engineering publications

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