By Francesco C. Billari, Alexia Prskawetz

ISBN-10: 3790815500

ISBN-13: 9783790815504

ISBN-10: 3790827150

ISBN-13: 9783790827156

Agent-Based Computational Demography (ABCD) goals at beginning a brand new circulate of analysis between social scientists whose pursuits lie in realizing demographic behaviour. The booklet takes a micro-demographic (agent-based) standpoint and illustrates the possibilities of desktop simulation as an relief in conception development. The chapters of the e-book, written through best specialists both in demography or in agent-based modelling, deal with a number of key questions. Why will we desire agent-based computational demography? How can ABCD be utilized to the research of migrations, relatives demography, and historic demography? What are the peculiarities of agent-based types as utilized to the demography of human populations? ABCD is of curiosity to all scientists drawn to learning demographic behaviour, in addition to to desktop scientists and modellers who're searching for a promising box of application.

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Onl y a few physi cal qu anti ties, whereas nature contain s man y quantities which often interac t one with anoth er, and there are few if any isolated systems. 2-1 ) 7 For Giere, the primary representational de vice in science is not the law but the model, o f which ther e are three main types: physical models; visual model s; and theoretic al model s (Giere prefers the term ' mode l-based view' of science to the older ph iloso phical term ' the semantic view ' of science ). Models are inherently abstract 7 Giere.

They comment in the conclud ing section: However detailed and comprehensive the ' explanatory' facto rs we have had at our dispo sal, they are, after all, only dim reflections of the possib ly unmea surab le factor s that keep marri age s together or drive them apart ; and it would be unfortunate if the apparent sophistication of the measures were to obscure this fact (pA2 3) . Theoretical models also can more easily incorporate non-linear functi onal form s and feedba cks, and deal with process and mechanisms.

B. ( 1992) : Mathematical Modeling in the Life Scien ces. Elli s Horwood, New York 16. , Hamson, M. ( 1989): Guid e to Mathemati cal Modell ing. CRC Pre ss, Boca Raton, FI 17. Feene y, G. (1994) : Fertility decl ine in East Asia. Scien ce 266, 1518-1523 18. Friedman, M. (1953 ): The metho dology of positive economics. Essays in Positive Economic s, University of Ch icago Press, 3-43 19. Giere, R. N. (1999 ): Science Without Laws . University of Ch icago Press, Chicago 20. , Swedberg, R. (1998) : Socia l Mec hanisms: An Analyt ic Appro ach to Social T heor y.

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Agent-Based Computational Demography: Using Simulation to Improve Our Understanding of Demographic Behaviour by Francesco C. Billari, Alexia Prskawetz


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