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  1. John Charles Harsanyi (eigentlich János Károly Harsányi; * 29. Mai 1920 in Budapest; † 9. August 2000 in Berkeley/Kalifornien) war ein ungarisch-amerikanischer Wirtschaftswissenschaftler. Er erhielt 1994 den Alfred-Nobel-Gedächtnispreis für Wirtschaftswissenschaften

  2. John Charles Harsanyi (Hungarian: Harsányi János Károly; May 29, 1920 – August 9, 2000) was a Hungarian-American economist who spent most of his career at the University of California, Berkeley. He was the recipient of the Nobel Memorial Prize in Economic Sciences in 1994.

  3. Bei dem Gleichwahrscheinlichkeitsmodell von J. C. Harsanyi handelt es sich um ein Gedankenexperiment zur Modellierung einer hypothetischen Ausgangssituation für eine rationale und ethisch begründbare Entscheidung. John Harsanyi spricht sich in seiner Theorie für eine Moralphilosophie aus, die sich nicht auf die Fundamente von ...

  4. I was born in Budapest, Hungary, on May 29, 1920. The high school my parents chose for me was the Lutheran Gymnasium in Budapest, one of the best schools in Hungary, with such distinguished alumni as John von Neumann and Eugene Wigner. I was very happy in this school and received a superb education. In 1937, the year I graduated from it, I won ...

  5. 24. Mai 2024 · John C. Harsanyi (born May 29, 1920, Budapest, Hung.—died Aug. 9, 2000, Berkeley, Calif., U.S.) was a Hungarian-American economist who shared the 1994 Nobel Prize for Economics with John F. Nash and Reinhard Selten for helping to develop game theory, a branch of mathematics that attempts to analyze situations involving conflicting ...

  6. 10. Dez. 2016 · John Harsanyi was a Hungarian-born economist who developed a general framework for economic analysis based on Bayesian decision theory. He made major contributions to game theory, welfare economics, and information economics.

  7. 15. Okt. 1994 · Learn about the life and work of John Harsanyi, a Berkeley Haas economist who shared the 1994 Nobel Prize in economics for his contributions to game theory. He developed a model for games with incomplete information and advised on real-life negotiations.