Artificial Intelligence and the Management Science Practitioner: Rational Choice and Artificial Intelligence
Varghese S. Jacob,
James C. Moore and
Andrew B. Whinston
Additional contact information
Varghese S. Jacob: Faculty of Accounting and Management Information Systems, The Ohio State University, 1775 College Road, Columbus, Ohio 43210-1399
James C. Moore: Krannert Graduate School of Management, Purdue University, West Lafayette, Indiana 47907
Andrew B. Whinston: Krannert Graduate School of Management and Department of Computer Science, Purdue University, Purdue University, West Lafayette, Indiana 47907
Interfaces, 1988, vol. 18, issue 4, 24-35
Abstract:
Current research in AI, while focusing on the practical problems associated with knowledge engineering and design issues, has not addressed a key question: What is a theoretical basis for AI? This paper addresses the issue of defining a theoretical basis for AI and thus illustrating the common bonds between AI, computer science, economics, psychology, management science, and operations research (MS/OR).
Keywords: artificial intelligence; computers: system design operation (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://dx.doi.org/10.1287/inte.18.4.24 (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:18:y:1988:i:4:p:24-35
Access Statistics for this article
More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().