Two Challenges in Simulating the Social Processes of Science

This note discusses two challenges to simulating the social process of science. The first is developing an adequately rich representation of the underlying Data Generation Process which scientific progress can \"learn\". The second is how to get effective data on what, in broad terms, the properties of the \"future\" are. Paradoxically, with due care, we may learn a lot about the future by studying the past.

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Year of publication:	2011-10-31
Authors:	Chattoe-Brown, Edmund
Published in:	Journal of Artificial Societies and Social Simulation. - Journal of Artificial Societies and Social Simulation. - Vol. 14.2011, 4, p. 1-1
Publisher:	Journal of Artificial Societies and Social Simulation
Subject:	Simulating Science \| Algorithmic Chemistry \| Evolutionary Algorithms \| Data Structures \| Learning Systems

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Extent:	application/pdf
Type of publication:	Article
Language:	English
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009358526