Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks (Elements in Structure and Dynamics of Complex Networks) - Softcover

Masuda, Naoki

9781009239141: Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks (Elements in Structure and Dynamics of Complex Networks)

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ISBN 10: 1009239147 ISBN 13: 9781009239141

Verlag: Cambridge University Press, 2023

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This Element provides a tutorial on the Gillespie algorithms focusing on social multiagent dynamics and also review their recent extensions.

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Verlag: Cambridge University Press
Erscheinungsdatum: 2023
Sprache: Englisch
ISBN 10: 1009239147
ISBN 13: 9781009239141
Einband: Taschenbuch
Anzahl der Seiten: 106
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Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks (Paperback or Softback)

Masuda, Naoki

Verlag: Cambridge University Press 1/5/2023, 2023

ISBN 10: 1009239147 ISBN 13: 9781009239141

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Paperback or Softback. Zustand: New. Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks. Book. Bestandsnummer des Verk�ufers BBS-9781009239141

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Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks (Paperback)

Naoki Masuda

Verlag: Cambridge University Press, Cambridge, 2023

ISBN 10: 1009239147 ISBN 13: 9781009239141

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Anbieter: Grand Eagle Retail, Bensenville, IL, USA

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Paperback. Zustand: new. Paperback. 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 a discrete event, the dynamics is defined in continuous time, and the stochastic law of event occurrence is governed by independent Poisson processes. The first main part of this volume provides a tutorial on the Gillespie algorithms focusing on simulation of social multiagent dynamics occurring in populations and networks. The authors clarify why one should use the continuous-time models and the Gillespie algorithms in many cases, instead of easier-to-understand discrete-time models. The remainder of the Element reviews recent extensions of the Gillespie algorithms aiming to add more reality to the model (i.e., non-Poissonian cases) or to speed up the simulations. This title is also available as open access on Cambridge Core. This Element provides a tutorial on the Gillespie algorithms focusing on social multiagent dynamics and also review their recent extensions. The first main part focuses on simulation of social multiagent dynamics occurring in populations and networks, and the remainder reviews recent extensions of the Gillespie algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9781009239141

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