Modeling and Managing a Top Management Game by an Expert System Tool

Toshiro Kurozawa ()
Additional contact information
Toshiro Kurozawa: Setsunan University, Department of Industrial and Systems Engineering, Faculty of Engineering

A chapter in Global Interdependence, 1992, pp 333-333 from Springer

Abstract: Abstract In university education, the effectiveness of a top management game decreases if the same model is repeated every year. Instructors must modify the game programs directly to change rules and parameters, a time-consuming and problematic process. In this paper an expert system structure is proposed which supports modeling and managing of a top management game so as to avoid such programming efforts. It is composed of an expert system shell, game programs, and some blackboards, and is executable by NEC-PCs. The production-system inference engine modifies the market size and the share of each firm on a market rules-basis. It also provides diagnostics for the players on a financial diagnostic rules-basis. Instructors can easily develop and operate many games with different rules every year using the original editor of the expert system. In addition, suitable diagnostics for the players can improve the quality of education.

Date: 1992
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-4-431-68189-2_54

Ordering information: This item can be ordered from
http://www.springer.com/9784431681892

DOI: 10.1007/978-4-431-68189-2_54

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().