Title
Decision-Theoretic Throttling for Optimistic Simulations of Multi-Agent Systems
Abstract
In this paper we present a throttling mechanism for optimistic simulations of multi-agent systems, which delays read accesses to the shared simulation state that are likely to be rolled back. We develop a decision- theoretic model of rollback and show how this can be used to derive the optimal time to delay a read event so as to minimise the expected overall execution time of the simulation. We briefly describe an implementation of this approach in ASSK, a distributed simulation kernel developed to investigate synchronisation mechanisms for MAS simulation, and report the results of preliminary experiments to evaluate the effectiveness of our approach.
Year
DOI
Venue
2005
10.1109/DISTRA.2005.16
DS-RT
Keywords
Field
DocType
decision theory,digital simulation,multi-agent systems,MAS simulation,decision-theoretic throttling,distributed simulation kernel,multiagent systems,optimistic simulations,shared simulation state
Kernel (linear algebra),Synchronization,Computer science,Multi-agent system,Execution time,Decision theory,Rollback,Bandwidth throttling,Distributed computing
Conference
ISSN
ISBN
Citations 
1550-6525
0-7695-2462-1
13
PageRank 
References 
Authors
0.73
9
5
Name
Order
Citations
PageRank
Michael Lees120015.06
Brian Logan280389.41
Dan Chen3109659.02
Ton Oguara4724.75
Georgios Theodoropoulos533231.39