Möbus, Claus and Schröder, Olaf and Thole, Heinz-Jürgen (1996) WULPUS - An Intelligent Problem Solving Environment Delivering Knowledge Based Help and Explanations in Business Management Simulation. In: Intelligent Tutoring Systems. Lecture Notes in Computer Science (1086). Springer, Berlin-Heidelberg, pp. 550-559. ISBN 978-3-540-68460-2

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Abstract

Business management simulation plays an increasing role in schooling and post-qualification. In complex simulation games the interrelationships between decisions and results are intransparent. This is one reason for inefficient knowledge acquisition. Another reason is the forward chaining architecture of "classical" simulation games. In this paper we describe a prototype of a business simulation game based on hypotheses testing and goal oriented backward chaining. Its design is based on a theoretical framework, the IPSE approach (Intelligent Problem Solving Environment). In order to offer help on the students´ demand, we integrated a hypotheses testing environment, named "simulation in the simulation". The students may state goals and hypotheses about their reachability and about the consistency of decisions with corporate objectives. The system gives feedback and explains the relations in the business marketing simulation by presenting qualitative information, price- demand curves, and by using an "enterprise landscape" which contains the decision and result variables of the system, their dependencies, and the qualities of their influences.

Item Type: Book Section
Uncontrolled Keywords: Business management simulation, complex simulation games, forward chaining architecture, business simulation game, hypotheses testing, goal oriented backward chaining, IPSE, Intelligent Problem Solving Environment, hypotheses testing environment, simulation in the simulation, reachability of goals, consistency of decisions, enterprise landscape
Subjects: Generalities, computers, information > Computer science, internet
Philosophy and psychology > Psychology
Divisions: School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited: 01 Oct 2015 11:03
Last Modified: 01 Oct 2015 11:03
URI: https://oops.uni-oldenburg.de/id/eprint/2178
URN: urn:nbn:de:gbv:715-oops-22590
DOI: DOI: 10.13140/2.1.3412.2564
Nutzungslizenz:

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