Abstract
The Strategic Planning System (SPS) is a knowledge-based causal modeling and analysis technology. It has been designed to provide an organizing framework within which planners can (1) identify the key goals, actions and environmental variables which potentially contribute to the success or failure of a particular plan of action, (2) express the underlying causal relationships between these critical business factors, (3) obtain automatic identification of all feedback loops in a given model, including the determination of the positive or negative polarity of each loop, (4) obtain structural information on how these positive and negative loops interact to produce what are often counterintuitive effects from strategic system inputs, (5) determine the effects and side-effects of a given action plan or strategy, and (6) through ad-hoc queries, conduct “what-if” analyses and obtain various sorts of advice on manipulating action and goal variables. In group planning situations, SPS provides a model building methodology and an automated environment within which specific scenarios can be defined, and strategic plans can be iteratively refined based on group feedback and consensus.
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References
R. Axelrod, Structure of Decisions: The Cognitive Maps of Political Elites, Princeton University Press, Princeton, NJ., (1976).
J. de Kleer and J. Brown, “A qualitative physics based on confluences,” Artificial Intelligence 24, 7–83 (1984).
E. Freeman, “The Implementation of Effect Decomposition Methods for Two General Structural Covariance Modeling Systems,” Ph.D. Dissertation, Dept. of Psychology, UCLA, Los Angeles, 1982.
E. Freeman, “A Logic-based Prototyping Environment for Process Oriented Second Generation Expert Systems,” SPIE Applications of Artificial Intelligence VI, 937 (1988), pp. 126–134.
D. Heise, Causal Analysis, New York: Wiley, 1975.
Y. Iwasaki and H. Simon, “Causality in Device Behavior,” Artificial Intelligence, 29, 3–32(1986).
H. Kelley, “Perceived causal structures,” in Attribution Theory and Research: Conceptual and Developmental Dimensions, J. Jaspars, et. al. eds., pp. 343–369, Academic Press, London, (1983).
B. Kuipers and J. Kassirer, “Causal reasoning in medicine: Analysis of a protocol,” Cognitive Sciences 8, 363–385 (1984).
J. F. Ledbetter, “The Strategic Planning System User Interface Evaluation,” U S WEST Document, 1989.
C. Lorens, Flowgraphs for the Modeling and Analysis of Linear Systems, McGraw-Hill, NY. (1964).
P. Lunt, “A causal network of loneliness,” in Attribution Theory and Research: Conceptual and Developmental Dimensions, J. Jaspars, et. al. eds., pp. 343–369, Academic Press, London, (1983).
S. Mason, “Feedback theory — some properties of signal flow graphs,” Proceedings of the Institute of Radio Engineers, 41, 1144–1156 (1953).
C. Reiger and M. Grinberg, “The Declarative Representation and Procedural Simulation of Causality in Physical Mechanisms,” Proceedings of the Fifth International Joint Conference on Artificial Intelligence, William Kaufmann, Inc., 1977, pp. 1080–1085.
G. Richardson, A Pugh, Introduction to System Dynamics Modeling with DYNAMO, Cambridge, MA, MIT Press, 1981
H. Simon, “Spurious Correlation: a Causal Interpretation,” Journal of American Statistical Association, 49, 467–479(1954).
R. Stata, “Organizational Learning—The Key to Management Innovation,” Sloan Management Review, 30 (1989), pp. 63–74.
J. Sterman, “Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment,” Management Science, 35, No. 3, 321–339 (1989).
B. Tregoe, J. Zimmerman, Top Management Strategy, New York, Simon and Schuster, 1980.
S. Weiss, C. Kulikowski, and A. Safir, “A Model-based Consultation System for the Long-term Management of Glaucoma,” Proceedings of the Fifth International Joint Conference on Artificial Intelligence, William Kaufmann, Inc., 1977, pp. 826–832.
S. Wright, “Correlation and Causation”, Journal of Agricultural Research, 20, 557–585 (1921).
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© 1992 Springer-Verlag Berlin Heidelberg
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Freeman, E.H. (1992). A knowledge-based approach to strategic planning. In: Comyn, G., Fuchs, N.E., Ratcliffe, M.J. (eds) Logic Programming in Action. LPSS 1992. Lecture Notes in Computer Science, vol 636. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55930-2_10
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DOI: https://doi.org/10.1007/3-540-55930-2_10
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