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On the Epistemology of the Inexact Sciences

Author

Listed:
  • Olaf Helmer

    (The RAND Corporation, Santa Monica, California)

  • Nicholas Rescher

    (The RAND Corporation, Santa Monica, California)

Abstract

This is a new epistemological approach to the inexact sciences. The purpose of all science is to explain and predict in an objective manner. While in the exact sciences explanation and prediction have the same logical structure, this is not so in the inexact sciences. This permits various methodological innovations in the inexact sciences, e.g., expert judgment and simulation.

Suggested Citation

  • Olaf Helmer & Nicholas Rescher, 1959. "On the Epistemology of the Inexact Sciences," Management Science, INFORMS, vol. 6(1), pages 25-52, October.
  • Handle: RePEc:inm:ormnsc:v:6:y:1959:i:1:p:25-52
    DOI: 10.1287/mnsc.6.1.25
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    Cited by:

    1. Hyun Baek & Sun-Kyoung Park, 2015. "Sustainable Development Plan for Korea through Expansion of Green IT: Policy Issues for the Effective Utilization of Big Data," Sustainability, MDPI, vol. 7(2), pages 1-21, January.
    2. Villarreal Larrinaga, Oskar, 2016. "Is it desirable, necessary and possible to perform research using case studies?," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    3. Akash Malhotra, 2018. "A hybrid econometric-machine learning approach for relative importance analysis: Prioritizing food policy," Papers 1806.04517, arXiv.org, revised Aug 2020.
    4. Hsin-Ning Su & Pei-Chun Lee, 2010. "Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 65-79, October.
    5. Francis Rousseaux & Pierre Saurel & Jean Petit, 2014. "Knowledge Engineering or Digital Humanities? Territorial Intelligence, a Case in Point," Post-Print hal-01084712, HAL.
    6. Brown, Philip & Daigneault, Adam, 2015. "Managing the Invasive Small Indian Mongoose in Fiji," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(3), pages 1-16, December.
    7. repec:mth:jas888:v:6:y:2018:i:4:p:84-97 is not listed on IDEAS
    8. Juan José López García & David Lizcano & Celia MQ Ramos & Nelson Matos, 2019. "Digital Marketing Actions That Achieve a Better Attraction and Loyalty of Users: An Analytical Study," Future Internet, MDPI, vol. 11(6), pages 1-16, June.
    9. Tapinos, E. & Pyper, N., 2018. "Forward looking analysis: Investigating how individuals ‘do’ foresight and make sense of the future," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 292-302.
    10. Hoi K. Suen, 1984. "A Procedure for the Derivation of the Best Estimate When Empirical Data Are Unattainable," Evaluation Review, , vol. 8(5), pages 734-743, October.
    11. van Aaken, Dominik & Kirsch, Werner & Seidl, David, 2015. "Gesetzmäßigkeiten in der Unternehmensführung? – Unternehmensführung als das Verfügen über Notwendigkeiten," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 69(1), pages 54-66.
    12. Kinra, Aseem, 2015. "Environmental complexity related information for the assessment of country logistics environments: Implications for spatial transaction costs and foreign location attractiveness," Journal of Transport Geography, Elsevier, vol. 43(C), pages 36-47.
    13. Nielsen, Christine & Thangadurai, Mohan, 2007. "Janus and the Delphi Oracle: Entering the new world of international business research," Journal of International Management, Elsevier, vol. 13(2), pages 147-163, June.
    14. Alessandro Le Donne, 2022. "Forecasting in the Long-Term: Aurelio Peccei, a Quite Neglected Manager and Utopian," HISTORY OF ECONOMIC THOUGHT AND POLICY, FrancoAngeli Editore, vol. 11(1), pages 7-23.
    15. Masood Fooladi Chaghadari Author_Email: foladim57@gmail.com & Zaleha Abdul Shukor, 2011. "Corporate Governance And Disclosure Of Related Party Transactions," 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding 2011-267, Conference Master Resources.
    16. Akash Malhotra, 2021. "A hybrid econometric–machine learning approach for relative importance analysis: prioritizing food policy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 549-581, September.
    17. Mohn, R., 1973. "Ergebnisse einer Prognose über technische Fortschritte in der Landwirtschaft nach dem Delphi-Verfahren," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 10.
    18. repec:ags:afjare:225652 is not listed on IDEAS
    19. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

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