Causality in the context of analytical models and numerical experiments

• Autores: Ramji Balakrishnan, Mark Penno
• Localización: Accounting, organizations and society: an international journal devoted to the behavioural, organizational and social aspects of accounting, ISSN 0361-3682, Vol. 39, Nº. 7, 2014, págs. 531-534
• Idioma: inglés
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• Resumen

  • Intuition tends to guide model formulation, as it is generally impossible to consider all dimensions of a problem. The ability to surprise, heightening the focus on paradox and the contradiction of reality, is therefore more useful than a literal representation of reality. While numerical experiments are useful in exploring patterns not well suited to analytic approaches, features of the model that underlies the experiment determines the experiments� ability to provide insight and offer surprise.