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Digital Library

of the European Council for Modelling and Simulation

 

Title:

A Simulation Model Of Scientists As Utility-Driven Agents

Authors:

Melanie Baier

Published in:

 

(2012).ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European Council for Modeling and Simulation. doi:10.7148/2012 

 

ISBN: 978-0-9564944-4-3

 

26th European Conference on Modelling and Simulation,

Shaping reality through simulation

Koblenz, Germany, May 29 – June 1 2012

 

Citation format:

ABaier, M. (2012). A Simulation Model Of Scientists As Utility-Driven Agents. ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 683-689). European Council for Modeling and Simulation. doi:10.7148/2012-0683-0689

DOI:

http://dx.doi.org/10.7148/2012-0683-0689

Abstract:

Agent-based simulations of science that account for the linkage between micro-level behavior of scientists and macro-level results of scientific competition are rather scarce. The approach of this simulation model is to link the motivation and behavior of scientists to knowledge growth and scientific innovations via the emergence of new knowledge fields. A new knowledge field is con- sidered both to be a result of scientific competition and a representation of scientific advancement. This paper takes a closer look at the scientists’ motivation and how they coordinate and add to scientific progress as utility- driven agents. Accounting for stylized facts of scientific competition, selected simulation results show how deep the processes of knowledge generation, reputation and scientific innovations are intertwined. As scientists are assumed to be of different utility types and have differ- ent aspiration levels, this approach is able to account for adaptive behavior of agents.

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