Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/54684
Citations
Scopus Web of Science® Altmetric
?
?
Type: Conference paper
Title: An optimality principle for concurrent systems
Author: White, L.
Hickmott, S.
Citation: AI 2008: Advances in Artificial Intelligence - Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1-5, 2008 / R. Goebel, J. Siekmann, and W. Wahlster (eds.): pp.128-137
Publisher: Springer-Verlag
Publisher Place: Germany
Issue Date: 2008
Series/Report no.: Lecture Notes in Computer Science ; 5360
ISBN: 3540893776
9783540893776
ISSN: 0302-9743
1611-3349
Conference Name: Australasian Joint Conference on Artificial Intelligence (21st : 2008 : Auckland, New Zealand)
Editor: Wobcke, W.
Zhang, M.
Statement of
Responsibility: 
Langford B. White and Sarah L. Hickmott
Abstract: This paper presents a formulation of an optimality principle for a new class of concurrent decision systems formed by products of deterministic Markov decision processes (MDPs). For a single MDP, the optimality principle reduces to the usual Bellman's equation. The formulation is significant because it provides a basis for the development of optimisation algorithms for decentralised decision systems including a recently proposed method based on Petri Net unfoldings. © 2008 Springer Berlin Heidelberg.
DOI: 10.1007/978-3-540-89378-3_13
Published version: http://dx.doi.org/10.1007/978-3-540-89378-3_13
Appears in Collections:Aurora harvest 5
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.