Abstract
This paper addresses the first step about collecting qualitative knowledge from persons working for learning organizations. Mental models of policymakers are considered the sources of knowledge. The main idea is to represent their qualitative knowledge into a computer simulation model. System Dynamics methodology is used. Results of the process carried out with a team of two consultants on a hotel system are presented. Conclusions are derived and future research is discussed to construct knowledge-based systems that incorporate simulation models for learning purposes in business organizations.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Davis, R.: Diagnostic Reasoning Based on Structure and Behavior. Artificial Intelligence 24(1-3), 347–410 (1984)
Forrester, J.W.: Collected Papers of Jay W. Forrester. Productivity Press, Portland (1975)
Forrester, J.W.: System Dynamics as a Foundation for Pre-College Education. In: Anderson, D.F., Richardson, G.P., Sterman, J.D. (eds.) System Dynamics 1990, vol. I, pp. 367–380. System Dynamics Society, Mass (1990)
Gonzalez, A.J., Dankel, D.D.: The Engineering of Knowledge-Based Systems. In: Theory and Practice. Prentice Hall, USA (1993)
HPS96: An Introduction to Systems Thinking. i think Analyst Version. High Performance Systems, Inc., USA (1996)
Kuipers, B.: Qualitative Simulation. Artificial Intelligence 29(3), 289–338 (1986)
Kosko, B.: Neural Networks and Fuzzy Systems. In: A Dynamical Systems Approach to Machine Intelligence. Prentice Hall, Inc., USA (1992)
Lee, K.C., Lee, W.J., Kwon, O.B., Han, J.H., Yu, P.I.: Strategic Planning Simulation Based on Fuzzy Cognitive Map Knowledge and Differential Game. Simulation, USA 71 (1998)
Ljung, L., Glad, T.: Modeling of Dynamic Systems. Prentice Hall, USA (1994)
Nissen, M.E.: Designing Qualitative Simulation Systems for Business. In: Simulation & Gaming. Thousand Oaks, USA (1996)
Perusich, K.: Fuzzy Cognitive Maps for Policy Analysis. In: International Symposium on Technology and Society Technical Expertise and Public Decisions, pp. 369–373 (1996)
Rothenberg, J.: Artificial Intelligence and Simulation. In: Balci, O., Sadowski, R.P., Nance, R.E. (eds.) Proceedings of the 1990 Winter Simulation Conference, USA (1990)
Scarl, E.A., Jamieson, J.R., Delaune, C.I.: Diagnosis and Sensor Validation through Knowledge of Strucutre and Function. IEEE Transactions on Systems, Man and Cybernetics SMC-17(3), 360–368 (1987)
Scarl, E.A.: Tutorial on Model Based Reasoning. In: Florida Artificial Intelligence Research Symposium. FLAIRS, St. Petersburg (1991)
Senge, P.M.: The Fifth Discipline. Doubleday New York (1990)
Shaker, S.M., Gembicki, M.P.: The War Room Guide to Competitive Intelligence. McGraw- Hill, USA (1999)
Sterman, J.D.: Prologue. In: Morecroft, J.D.W., Sterman, J.D. (eds.) Modeling for Learning Organizations. System Dynamics Series. Productivity Press, EUA (1994)
Weld, S., De Kleer, J.: Readings in Qualitative Reasoning about Physical Systems. Morgan Kaufmann, USA (1990)
Widman, L.E., Loparo, K.A., Nielsen, N.R.: Artificial Intelligence, Simulation and Modeling. John Wiley & Sons, Inc., USA (1989)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bourguet, R.E., Soto, R. (2000). Qualitative Knowledge Acquisition for Learning Organizations. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_28
Download citation
DOI: https://doi.org/10.1007/10720076_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67354-5
Online ISBN: 978-3-540-45562-2
eBook Packages: Springer Book Archive