000 02495nam a2200385 i 4500
001 CR9781009239158
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020 _a9781009239158 (ebook)
020 _z9781009239141 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 4 _aQA9.58
_b.M37 2022
082 0 4 _a518.1
_223
100 1 _aMasuda, Naoki,
_d1976-
_eauthor.
245 1 0 _aGillespie algorithms for stochastic multiagent dynamics in populations and networks /
_cNaoki Masuda, Christian L. Vestergaard.
264 1 _aCambridge :
_bCambridge University Press,
_c2022.
300 _a1 online resource (96 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge elements. Elements in the structure and dynamics of complex networks,
_x
500 _aTitle from publisher's bibliographic system (viewed on 19 Dec 2022).
520 _aMany 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.
650 0 _aAlgorithms.
650 0 _aStochastic processes.
650 0 _aMultiagent systems.
650 0 _aSystem analysis.
700 1 _aVestergaard, Christian L.,
_eauthor.
776 0 8 _iPrint version:
_z9781009239141
830 0 _aCambridge elements.
_pElements in the structure and dynamics of complex networks,
_x
856 4 0 _uhttps://doi.org/10.1017/9781009239158
999 _c38650
_d38650