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http://ssrn.com/abstract=1889318
 
 

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A Complete Theory of Human Behavior


Andrew W. Lo


Massachusetts Institute of Technology (MIT) - Sloan School of Management; Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL); National Bureau of Economic Research (NBER)

September 30, 2010

American Economic Association, Ten Years and Beyond: Economists Answer NSF's Call for Long-Term Research Agendas

Abstract:     
I propose the following grand challenge question for SBE 2020: can we develop a complete theory of human behavior that is predictive in all contexts? The motivation for this question is the fact that the different disciplines within SBE do have a common subject: Homo sapiens. Therefore, psychological, sociological, neuroscientific, and economic implications of human behavior should be mutually consistent. When they contradict each other - as they have in the context of financial decisions - this signals important learning opportunities. By confronting and attempting to reconcile inconsistencies across disciplines, we develop a more complete understanding of human behavior than any single discipline can provide. The National Science Foundation can foster this process of “consilience” in at least four ways: (1) issuing RFPs around aspects of human behavior, not around disciplines; (2) holding annual conferences where PI’s across NSF directorates present their latest research and their most challenging open questions; (3) organizing “summer camps” for NSF graduate fellowship recipients at the start of their graduate careers, where they are exposed to a broad array of research through introductory lectures by NSF PI’s; and (4) broadening the NSF grant review process to include referees from multiple disciplines.

Number of Pages in PDF File: 7

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Date posted: August 12, 2011  

Suggested Citation

Lo, Andrew W., A Complete Theory of Human Behavior (September 30, 2010). American Economic Association, Ten Years and Beyond: Economists Answer NSF's Call for Long-Term Research Agendas. Available at SSRN: http://ssrn.com/abstract=1889318 or http://dx.doi.org/10.2139/ssrn.1889318

Contact Information

Andrew W. Lo (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
100 Main Street
E62-618
Cambridge, MA 02142
United States
617-253-0920 (Phone)
781 891-9783 (Fax)
HOME PAGE: http://web.mit.edu/alo/www
Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Cambridge, MA 02142
United States
National Bureau of Economic Research (NBER)
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Cambridge, MA 02138
United States
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