Graduate studies at Western
Philosophy of Science 74 (3):304-329 (2007)
|Abstract||Like other mathematically intensive sciences, economics is becoming increasingly computerized. Despite the extent of the computation, however, there is very little true simulation. Simple computation is a form of theory articulation, whereas true simulation is analogous to an experimental procedure. Successful computation is faithful to an underlying mathematical model, whereas successful simulation directly mimics a process or a system. The computer is seen as a legitimate tool in economics only when traditional analytical solutions cannot be derived, i.e., only as a purely computational aid. We argue that true simulation is seldom practiced because it does not fit the conception of understanding inherent in mainstream economics. According to this conception, understanding is constituted by analytical derivation from a set of fundamental economic axioms. We articulate this conception using the concept of economists' perfect model. Since the deductive links between the assumptions and the consequences are not transparent in ‘bottom‐up’ generative microsimulations, microsimulations cannot correspond to the perfect model and economists do not therefore consider them viable candidates for generating theories that enhance economic understanding.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Stephan Hartmann (1996). The World as a Process: Simulations in the Natural and Social Sciences. In Rainer Hegselmann (ed.), Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View.
Ronald N. Giere (2009). Is Computer Simulation Changing the Face of Experimentation? Philosophical Studies 143 (1):59 - 62.
Johannes Lenhard (2006). Surprised by a Nanowire: Simulation, Control, and Understanding. Philosophy of Science 73 (5):605-616.
Matthew W. Parker (2009). Computing the Uncomputable; or, the Discrete Charm of Second-Order Simulacra. Synthese 169 (3):447 - 463.
Jordi Fernández (2003). Explanation by Computer Simulation in Cognitive Science. Minds And Machines 13 (2):269-284.
Alvin I. Goldman & Chandra S. Sripada (2005). Simulationist Models of Face-Based Emotion Recognition. Cognition 94 (3):193-213.
Wendy S. Parker (2008). Computer Simulation Through an Error-Statistical Lens. Synthese 163 (3):371 - 384.
Added to index2009-01-28
Total downloads26 ( #53,645 of 739,352 )
Recent downloads (6 months)2 ( #37,186 of 739,352 )
How can I increase my downloads?