EconPapers    
Economics at your fingertips  
 

Prediction, Judgment, and Complexity: A Theory of Decision-Making and Artificial Intelligence

Ajay Agrawal, Joshua Gans and Avi Goldfarb

A chapter in The Economics of Artificial Intelligence: An Agenda, 2018, pp 89-110 from National Bureau of Economic Research, Inc

JEL-codes: D81 D86 O33 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.nber.org/chapters/c14010.pdf (application/pdf)

Related works:
Working Paper: Prediction, Judgment and Complexity: A Theory of Decision Making and Artificial Intelligence (2018) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberch:14010

Ordering information: This item can be ordered from
http://www.nber.org/chapters/c14010

Access Statistics for this chapter

More chapters in NBER Chapters from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by (wpc@nber.org).

 
Page updated 2025-01-02
Handle: RePEc:nbr:nberch:14010