Gillespie algorithms for stochastic multiagent dynamics in populations and networks /

Many multiagent dynamics can be modeled as a stochastic process in which the agents in the system change their state over time in interaction with each other. The Gillespie algorithms are popular algorithms that exactly simulate such stochastic multiagent dynamics when each state change is driven by...

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Bibliographic Details

Main Authors:	Masuda, Naoki, 1976- (Author), Vestergaard, Christian L. (Author)
Corporate Author:	Cambridge University Press
Format:	eBook
Language:	English
Published:	Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2022.
Series:	Cambridge elements. Elements in structure and dynamics of complex networks
Subjects:	Algorithms. System analysis. Stochastic processes. Multiagent systems. Algorithmes. Analyse de systèmes. Processus stochastiques. Systèmes multiagents (Intelligence artificielle) algorithms. systems analysis. Algorithms Multiagent systems Stochastic processes System analysis Electronic books.
Online Access:	Connect to the full text of this electronic book