On the physical interpretation of statistical data from black-box systems
In this paper we explore the physical interpretation of statistical data collected from complex black-box systems. Given the output statistics of a black-box system, and considering a class of relevant Markov dynamics which are physically meaningful, we reverse-engineer the Markov dynamics to obtain an equilibrium distribution that coincides with the output statistics observed. This reverse-engineering scheme provides us with a conceptual physical interpretation of the black-box system investigated. Five specific reverse-engineering methodologies are developed, based on the following dynamics: Langevin, geometric Langevin, diffusion, growth-collapse, and decay-surge. In turn, these methodologies yield physical interpretations of the black-box system in terms of conceptual intrinsic forces, temperatures, and instabilities. The application of these methodologies is exemplified in the context of the distribution of wealth and income in human societies, which are outputs of the complex black-box system called “the economy”.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 392 (2013)
Issue (Month): 13 ()
|Contact details of provider:|| Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Alfarano, Simone & Milakovic, Mishael, 2008.
"Does classical competition explain the statistical features of firm growth?,"
Elsevier, vol. 101(3), pages 272-274, December.
- Alfarano, Simone & Milaković, Mishael, 2008. "Does Classical Competition Explain the Statistical Features of Firm Growth?," Economics Working Papers 2008,03, Christian-Albrechts-University of Kiel, Department of Economics.
- Irle, Albrecht & Milaković, Mishael & Alfarano, Simone & Kauschke, Jonas, 2008.
"A Statistical Equilibrium Model of Competitive Firms,"
Economics Working Papers
2008,10, Christian-Albrechts-University of Kiel, Department of Economics.
- Alfarano, Simone & Milaković, Mishael & Irle, Albrecht & Kauschke, Jonas, 2012. "A statistical equilibrium model of competitive firms," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 136-149.
When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:392:y:2013:i:13:p:2924-2939. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.