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The Theory-Practice Gap in the Evaluation of Agent-Based Social Simulations

Published online by Cambridge University Press:  17 January 2023

David Anzola
David Anzola*
Affiliation:
Innovation Center, School of Management, Universidad del Rosario, Bogotá, Colombia
*
Email: david.anzola@urosario.edu.co
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Argument

Agent-based social simulations have historically been evaluated using two criteria: verification and validation. This article questions the adequacy of this dual evaluation scheme. It claims that the scheme does not conform to everyday practices of evaluation, and has, over time, fostered a theory-practice gap in the assessment of social simulations. This gap originates because the dual evaluation scheme, inherited from computer science and software engineering, on one hand, overemphasizes the technical and formal aspects of the implementation process and, on the other hand, misrepresents the connection between the conceptual and the computational model. The mismatch between evaluation theory and practice, it is suggested, might be overcome if practitioners of agent-based social simulation adopt a single criterion evaluation scheme in which: i) the technical/formal issues of the implementation process are tackled as a matter of debugging or instrument calibration, and ii) the epistemological issues surrounding the connection between conceptual and computational models are addressed as a matter of validation.

Keywords

VerificationValidationRepresentationConceptual modelingAgent-based modelingSocial simulation

Information

Type
Research Article
Information
Science in Context , Volume 34 , Issue 3 , September 2021 , pp. 393 - 410
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Copyright
© The Author(s), 2023. Published by Cambridge University Press

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