A Markov chain approach to ABM calibration
Fabretti, Annalisa (II Università degli studi di Roma)

Date:	2014
Abstract:	Agent based model are nowadays widely used, however the lack of general methods and rules for their calibration still prevent to exploit completely their potentiality. Rarely such a kind of models can be studied analytically, more often they are studied by using simulation. Reference [1] show that many computer simulation models, like ABM, can be represented as Markov Chains. Exploting such an idea we illustrate an example of how to calibrate an ABM when it can be revisited as a Markov chain.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Comunicació de congrés
Subject:	Markov chain ; Agent-based models ; Computational social science ; Social simulation
Published in:	Social Simulation Conference. Bellaterra, Cerdanyola del Valles, 1a : 2014

Podeu consultar la compilació de les ponències presentades a Social Simulation Conference a: https://ddd.uab.cat/record/125597

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Contributions to meetings and congresses > Papers and communications > UAB papers and communications