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Ein Modell der Ekonomie als System von neuronalen Netzwerken - Ein Umriss
[Connectionist Economics - An Outline]

Author

Listed:
  • H. Georg Schulze

    (UBC - University of British Columbia)

Abstract

Neuronale Netzwerken oder konnektionistische Modelle werden als konzeptionelle Bausteine ​​in der hier skizzierten ökonomischen Theorie verwendet, weil sie die gleichzeitige Modellierung von Mikro- und Makroökonomie ermöglichen. Im Zentrum der Theorie stehen zwei Netzwerke - ein Angebots- und ein Nachfrageseite-Netzwerk. Das angebotsseitige Netzwerk verwendet Land, Arbeit und Kapital als Eingaben. Die versteckte Schichtknoten, die die Hersteller repräsentiert, wandelt sie in Produkte um, die auf der Ausgabeschicht auf den Markt gebracht werden. Die an versteckten Schichtknoten verwendeten Aktivierungs- oder Übertragungsfunktionen stellen ökonomische Produktionsfunktionen dar. Das nachfrageseitige Netzwerk verwendet als Eingabe physiologische, psychologische und soziale Variablen und wandelt sie über die versteckte Schichtknoten in Produkte um, die auf der Ausgabeschicht vom Markt verlangt werden. Die beiden Netzwerke sind an ihren Ausgabeschichten so nebeneinander angeordnet, dass der Ausgang eines Netzwerks als Ziel für das andere Netzwerk dient und umgekehrt. Die daraus resultierenden kontinuierlichen Anpassungen beider Netzwerke erklären Konjunkturzyklen. Zirkuläre Flüsse werden ermöglicht, indem die Eingabeschicht eines Netzwerks mit der Eingabeschicht des anderen Netzwerks über die Population verbunden wird. In diesem System funktioniert Geld als Nachfragesymbol, das im Gegenstrom zu Waren und Dienstleistungen existiert. Kredit ist ein Produkt, das hauptsächlich von Banken generiert wird. Gewinne und Verluste reflektieren Belastungen in diesem System und signalisieren, wo die Gesundheit des Systems beeinträchtigt ist. Diese grundlegende Theorie kann ausgearbeitet werden, um soziale Schichten, öffentliche und ausländische Ökonomien zu berücksichtigen und die Umwelt einzubeziehen.

Suggested Citation

  • H. Georg Schulze, 2010. "Ein Modell der Ekonomie als System von neuronalen Netzwerken - Ein Umriss [Connectionist Economics - An Outline]," Post-Print hal-01492977, HAL.
  • Handle: RePEc:hal:journl:hal-01492977
    Note: View the original document on HAL open archive server: https://hal.science/hal-01492977v3
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    References listed on IDEAS

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    1. Mayumi, Kozo & Giampietro, Mario & Gowdy, John M., 1998. "Georgescu-Roegen/Daly versus Solow/Stiglitz Revisited," Ecological Economics, Elsevier, vol. 27(2), pages 115-117, November.
    2. S K Mishra, 2010. "A Brief History of Production Functions," The IUP Journal of Managerial Economics, IUP Publications, vol. 0(4), pages 6-34, November.
    3. Sato, Ryuzo, 1975. "The Most General Class of CES Functions," Econometrica, Econometric Society, vol. 43(5-6), pages 999-1003, Sept.-Nov.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. Giuseppe Fontana, 2006. "The Federal Reserve and the European Central Bank: a theoretical comparison of their legislative mandates," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 28(3), pages 433-450.
    6. Kurz, Heinz D. & Salvadori, Neri, 2003. "Fund-flow versus flow-flow in production theory: Reflections on Georgescu-Roegen's contribution," Journal of Economic Behavior & Organization, Elsevier, vol. 51(4), pages 487-505, August.
    7. Daly, Herman E., 1997. "Georgescu-Roegen versus Solow/Stiglitz," Ecological Economics, Elsevier, vol. 22(3), pages 261-266, September.
    8. Gianni Vaggi & Peter Groenewegen, 2003. "A Concise History of Economic Thought," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-50580-3, December.
    9. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    10. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    11. Giancarlo Gandolfo, 2014. "International Trade Theory and Policy," Springer Texts in Business and Economics, Springer, edition 2, number 978-3-642-37314-5, April.
    12. Geoffrey W. Gardiner, 2006. "The Evolution of Creditary Structures and Controls," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-28844-7, December.
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