The Quality of Social Simulation: An Example from Research Policy Modelling

Subject – InfoTech in a GlobalEconomy
Summaryon “The Quality of Social Simulation: An Example from Research PolicyModelling”
Thearticle explores the quality of a simulation. The authors test and applyassessment mechanisms using a sample policy modeling. The design aspect of simulationslike Caffe Nero resembles that of a scientific social simulation (Ahrweiler& Gilbert, 2014). The authors develop models from a specified target bydecreasing the attributes of the latter progressively. In each case, the aim isto derive a factor from the model that cannot be obtained automatically fromthe target. The article utilizes Caffe Nero simulation and the sciencesimulation because travelling to Venice would be time consuming and expensive,and they cannot obtain information from the “˜real system’ to determine itsbehavior.
Theauthors use the standard view and the constructivist approach to evaluate eachof the simulations. Based on these evaluations, the authors argue that asimulation is useful when one obtains the desired results from what they wouldhave derived from the original target; the exploration of the simulation isinfluenced by the experiences, anticipations and experiences of the societymembers that utilize it. This would divert the user community’s attention to ahighly viable approach to evaluate the efficiency of a policy modeling sample.To test this assumption, the authors examine concrete policy modeling andconclude that initial discussions and negotiations with the user community todetermine their questions were iterative, interactive, and user-driven.
“Theuser community plays a vital role in providing data for calibration of themodel because it is rather complex to confirm the availability, quality, andexistence check, and data for database and format requirements” (Doran &Gilbert, 1994). From a user’s perspective, the quality of the simulation willdepend on efficiency while calibrating the model and the quality of the primarydata. Also, the user community has to cross-examine the credibility of theresults of the simulation and has to affirm their quality.
What alternative methodologycan facilitate the realization of credible simulation results with minimalpractical contingencies?
References
Ahrweiler,P., & Gilbert, N. (2014). The Quality of Social Simulation: An Example fromResearch Policy. Miguel, Amblard, Barceló & Madella (eds.) Advances in Computational Social Science andSocial Simulation Barcelona: Autònoma University of Barcelona, DDDrepository
Doran,J. and N. Gilbert (1994): Simulating Societies: an Introduction. In: J. Doranand N. Gilbert (eds.): SimulatingSocieties: the Computer Simulation of social Phenomena. London: UCL Press,1-18.

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