Artificial Intelligence: Implications for Teaching Decision Science

Radhika Santhanam and Marc J. Schniederjans
Additional contact information
Radhika Santhanam: Department of Decision Sciences and Information Systems, Florida International University, Miami, Florida 33199
Marc J. Schniederjans: Department of Management, College of Business Administration, University of Nebraska-Lincoln, Lincoln, Nebraska 68588-0491

Interfaces, 1991, vol. 21, issue 5, 63-69

Abstract: Artificial intelligence (AI) can be incorporated into a decision-sciences (DS) curriculum using a variety of AI/DS education materials now available.

Keywords: professional: MS/OR education; artificial intelligence (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/inte.21.5.63 (application/pdf)

Related works:
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:inm:orinte:v:21:y:1991:i:5:p:63-69

Access Statistics for this article

More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().