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Generative social science: studies in agent-based computational modeling

Bibliographic Details
Main Author: Epstein, Joshua M.
Format: eBook
Language:English
Published: Princeton, Oxford Princeton University Press 2006
Subjects:
Volkswissenschaft
Wirtschaftswissenschaften
Online Access:
Collection: DeGruyter MPG Collection - Collection details see MPG.ReNa
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245 0 0 |a Generative social science: studies in agent-based computational modeling  |h Elektronische Ressource  |c Joshua M. Epstein 
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300 |a XXII, 356 Seiten 
505 0 |a gent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation. 
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