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ISBN 10: 1009239147 ISBN 13: 9781009239141
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Paperback or Softback. Condizione: New. Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks. Book.
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Paperback. Condizione: 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.
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ISBN 10: 1009239147 ISBN 13: 9781009239141
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Editore: Singapore, Springer Singapore., 2017
ISBN 10: 9811052867 ISBN 13: 9789811052866
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Aggiungi al carrelloVI, 342 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Theoretical Biology. Sprache: Englisch.
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Aggiungi al carrellopolysaccharide content of barley coleoptile segments (S. A. Plant & Cell Physiol. 19, 7) 1978. S. 1223 - 1233. m. zahlr. Abb. br. -2) -Sonderabdruck-.
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Hardcover. Octavo, vi, 342 pages. In Very Good condition. Spine is green with white lettering. Light shelf wear to foot edges of boards. Light scuffing to boards. NOTE: Shelved in Netdesk Column R (ND-R). 1378432. FP New Rockville Stock.
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ISBN 10: 1009239147 ISBN 13: 9781009239141
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - 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.
Lingua: Inglese
Editore: World Scientific Publishing Europe Ltd, 2016
ISBN 10: 178634114X ISBN 13: 9781786341143
Da: California Books, Miami, FL, U.S.A.
EUR 101,12
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