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Qualitative economics: An implementation in PROLOG

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Abstract

In this paper, we describe a formalism for qualitative reasoning in economics. The framework may serve as a common basis for the intuitive reasoning practised by experienced economists and the more formal qualitative models recently established in the field of artificial intelligence. The emphasis is on representation and implementation aspects of qualitative models. The formalism is illustrated in a well-known Keynesian model.

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References

  • Berndsen, R. J. and Daniels, H. A. M., 1989a, Sequential causality and qualitative reasoning in economics, in L. F. Pau et al. (eds), Expert Systems in Economics, Banking and Management, North-Holland, Amsterdam, pp. 125–135.

    Google Scholar 

  • Berndsen, R. J. and Daniels, H. A. M., 1989b, Qualitative economics in Prolog, ITK research report No. 8, Tilburg University, The Netherlands.

    Google Scholar 

  • Bourgine, P. and Raiman, O., 1986, Economics as reasoning on a qualitative model in IFAC Economics and Artificial Intelligence, Aix-en-Provence, France, pp. 121–125.

  • Boutillier, M., 1984, Reading macroeconomic models and building causal structures, in J. P. Ancot (ed), Analysing the Structure of Econometric Models, Martinus Nijhoff, The Hague, pp. 35–48.

    Google Scholar 

  • Chandrasekaran, B. and Mittal, S., 1983, Conceptual representation of medical knowledge for diagnosis by computer: MDX and related systems, in M. C. Yovits (ed) Advances in Computers, vol 22, Academic Press, New York, pp. 217–293.

    Google Scholar 

  • Davis, R., 1984, Diagnostic reasoning based on structure and behavior, Artificial Intelligence 24, 347–410.

    Google Scholar 

  • Dormoy, J. and Raiman, O., 1988, Assembling a device, in Proceedings of the 7th National Conference on AI (AAAI-88), Saint Paul, Minnesota, pp. 330–335.

  • Farley, A. M., 1986, Qualitative modeling of economic systems, in IFAC Economics and Artificial Intelligence, Aix-en-Provence, France, pp. 41–44.

  • Fontela, E., 1986, Macro-economic forecasting and expert systems, in IFAC Economics and Artificial Intelligence, Aix-en-Provence, France, pp. 109–113.

  • Forbus, K., 1984, Qualitative process theory, Artificial Intelligence 24, 85–168.

    Google Scholar 

  • Gallo, G. M. and Gilli, M. H., 1990, How to strip a model to its essential elements, Computer Science in Economics and Management 3, 199–214.

    Google Scholar 

  • Genereseth, M. R., 1984, The use of design descriptions in automated diagnosis, Artificial Intelligence 24, 411–436.

    Google Scholar 

  • Greenberg, H. J. and Maybee, J. S. (eds.), 1981, Computer-assisted Analysis and Model Simplification, Academic Press, New York.

    Google Scholar 

  • Hayes, P. J., 1979, The naive physics manifesto, in D. Michie (ed), Expert Systems in the Microelectronic Age, Edinburgh University Press, Edinburgh, pp. 242–270.

    Google Scholar 

  • Hicks, J. 1979, Causality in Economics, Basil Blackwell, Oxford.

    Google Scholar 

  • Iwasaki, Y. and Simon, H. A., 1986a, Causality in device behaviour, Artificial Intelligence 29, 3–32.

    Google Scholar 

  • Iwasaki, Y. and Simon, H. A., 1986b, Theories of causal ordering: reply to de Kleer and Brown, Artificial Intelligence 29, 63–72.

    Google Scholar 

  • Iwasaki, Y., 1988, Causal ordering in a mixed structure, in Proceedings of the 7th National Conference on AI (AAAI-88), Saint Paul, Minnesota, pp. 313–318.

  • Johnson, D., 1975, Finding all the elementary circuits of a directed graph, SIAM J. Computing 4, 77–84.

    Google Scholar 

  • De Kleer, J. and Brown, J. S., 1984, A qualitative physics based on confluences, Artificial Intelligence 24, 7–83.

    Google Scholar 

  • De Kleer, J. and Brown, J. S., 1986, Theories of causal ordering, Artificial Intelligence 29, 33–61.

    Google Scholar 

  • Kuipers, B. and Kassirer, J., 1984, Causal reasoning in medicine: Analysis of a protocol, Cognitive Science 8, 363–385.

    Google Scholar 

  • Kuipers, B., 1986, Qualitative simulation, Artificial Intelligence 29, 289–338.

    Google Scholar 

  • Mateti, P. and Deo, N., 1976, On algorithms for enumerating all circuits of a graph, SIAM J. Computing 5, 90–99.

    Google Scholar 

  • Paliès, O. and Philip, J., 1989, Knowledge bases for economic forecasting, in L. F. Pau et al. (eds), Expert Systems in Economics, Banking and Management, North-Holland, Amsterdam, pp. 109–114.

    Google Scholar 

  • Pau L., 1986, Inference of functional economic model relations from natural language analysis, in L. F. Pau (ed) Artificial Intelligence in Economics and Management, Elsevier, North-Holland, Amsterdam, pp. 173–183.

    Google Scholar 

  • Raiman, O., 1986, Order of magnitude reasoning in Proceedings of the 5th National Conference on AI (AAAI-86), Philadelphia, PA, 100–104.

  • Rieger, C. and Grinberg, M., 1977, The declarative representation and procedural simulation of causality in physical mechanisms, in Proceedings of the 5th Joint Conference on AI (IJCAI-77), MIT, Cambridge, MA, pp. 250–256.

    Google Scholar 

  • Royer, D. and Ritschard, G., 1984, Qualitative structural analysis: game or science?, in J. P. Ancot (ed), Analysing the Structure of Econometric Models, Martinus Nijhoff, The Hague, pp. 3–13.

    Google Scholar 

  • Samuelson, P. A., 1947, Foundations of Economic Analysis, Harvard University Press.

  • Travé-Massuyès, L. and Piera, N., 1989, The orders of magnitude models as qualitative algebras, in Proceedings IJCAI-89, Detroit, pp. 1261–1266.

  • Van Hentenryck, P., 1989, Constraint Satisfaction in Logic Programming, The MIT Press, Cambridge, MA.

    Google Scholar 

  • Williams, B. C., 1988, MINIMA A symbolic approach to qualitative algebraic reasoning, in Proceedings of the 7th national conference on AI (AAAI-88), Saint Paul, Minnesota, pp. 264–269.

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Berndsen, R., Daniels, H. Qualitative economics: An implementation in PROLOG. Computer Science in Economics and Management 4, 1–13 (1991). https://doi.org/10.1007/BF00426852

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