caa a22 4500 445349727 CHVBK 20180317142840.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s11192-011-0432-8 doi (NATIONALLICENCE)springer-10.1007/s11192-011-0432-8 Does cumulative advantage affect collective learning in science? An agent-based simulation [Elektronische Daten] [Christopher Watts, Nigel Gilbert] Agent-based simulation can model simple micro-level mechanisms capable of generating macro-level patterns, such as frequency distributions and network structures found in bibliometric data. Agent-based simulations of organisational learning have provided analogies for collective problem solving by boundedly rational agents employing heuristics. This paper brings these two areas together in one model of knowledge seeking through scientific publication. It describes a computer simulation in which academic papers are generated with authors, references, contents, and an extrinsic value, and must pass through peer review to become published. We demonstrate that the model can fit bibliometric data for a token journal, Research Policy. Different practices for generating authors and references produce different distributions of papers per author and citations per paper, including the scale-free distributions typical of cumulative advantage processes. We also demonstrate the model's ability to simulate collective learning or problem solving, for which we use Kauffman's NK fitness landscape. The model provides evidence that those practices leading to cumulative advantage in citations, that is, papers with many citations becoming even more cited, do not improve scientists' ability to find good solutions to scientific problems, compared to those practices that ignore past citations. By contrast, what does make a difference is referring only to publications that have successfully passed peer review. Citation practice is one of many issues that a simulation model of science can address when the data-rich literature on scientometrics is connected to the analogy-rich literature on organisations and heuristic search. Akadémiai Kiadó, Budapest, Hungary, 2011 Simulation nationallicence Cumulative advantage nationallicence Landscape search nationallicence Science models nationallicence Science policy nationallicence Watts Christopher Department of Sociology, Centre for Research in Social Simulation, University of Surrey, GU2 7XH, Guildford, Surrey, UK aut Gilbert Nigel Department of Sociology, Centre for Research in Social Simulation, University of Surrey, GU2 7XH, Guildford, Surrey, UK aut Scientometrics Springer Netherlands 89/1(2011-10-01), 437-463 0138-9130 89:1<437 2011 89 11192 https://doi.org/10.1007/s11192-011-0432-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0432-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Watts Christopher Department of Sociology, Centre for Research in Social Simulation, University of Surrey, GU2 7XH, Guildford, Surrey, UK aut NATIONALLICENCE 700 1- Gilbert Nigel Department of Sociology, Centre for Research in Social Simulation, University of Surrey, GU2 7XH, Guildford, Surrey, UK aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 89/1(2011-10-01), 437-463 0138-9130 89:1<437 2011 89 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer