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11

AUSAI
2008
Springer

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An Optimality Principle for Concurrent Systems

13 years 6 months ago

An Optimality Principle for Concurrent Systems

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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.

Langford B. White, Sarah L. Hickmott

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Artificial Intelligence | AUSAI 2008 | Decision Systems | Deterministic Markov Decision | Optimality Principle |

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Added	12 Oct 2010
Updated	12 Oct 2010
Type	Conference
Year	2008
Where	AUSAI
Authors	Langford B. White, Sarah L. Hickmott

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