Modelling Academics as Agents: An Implementation of an Agent-Based Strategic Publication Model
Authored by Xin Gu, Karen Blackmore, David Cornforth, Keith Nesbitt
Date Published: 2015
Sponsors:
No sponsors listed
Platforms:
NetLogo
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
https://www.comses.net/codebases/4169/releases/1.3.0/
Abstract
The rapid changes occurring in the higher education domain are placing
increasing pressure on the actors in this space to focus efforts on
identifying and adopting strategies for success. One particular group of
interest are academics or scientists, and the ways that these
individuals, or collectives as institutional or discipline-based science
systems, make decisions about how best to achieve success in their
chosen field. The agent-based model and simulation that we present draws
on the hypothetical ``strategic publication model{''} proposed by
Molders, Fink and Weyer (2011), and extends this work by defining
experimental settings to implement a prototype ABMS in NetLogo. While
considerable work remains to fully resolve theoretical issues relating
to the scope, calibration and validation of the model, this work goes
some way toward resolving some of the details associated with defining
appropriate experimental settings. Also presented are the results of
four experiments that focus on exploring the emergent effects of the
system that result from varying the strategic mix of actors in the
system.
Tags
Simulation
Science
Protocol
Scientists