Theory of Games and Economic Behavior

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Theory of Games and Economic Behavior
VNM-TGEB.jpg
60th anniversary edition, 2004
Author John von Neumann, Oskar Morgenstern
LanguageEnglish
Subject Game theory
GenreNon-fiction
Publisher Princeton University Press
Publication date
1944
Publication placeUnited States
Media typePrint, e-book
Pagesxviii, 625 p. (1st edition)
ISBN 978-0691130613 (60th anniversary edition)
OCLC 1629708

Theory of Games and Economic Behavior, published in 1944 [1] by Princeton University Press, is a book by mathematician John von Neumann and economist Oskar Morgenstern which is considered the groundbreaking text that created the interdisciplinary research field of game theory. [2] [3] [4] [5] In the introduction of its 60th anniversary commemorative edition from the Princeton University Press, the book is described as "the classic work upon which modern-day game theory is based."

Contents

Overview

The book is based partly on earlier research by von Neumann, published in 1928 under the German title "Zur Theorie der Gesellschaftsspiele" ("On the Theory of Board Games"). [6]

The derivation of expected utility from its axioms appeared in an appendix to the Second Edition (1947). Von Neumann and Morgenstern used objective probabilities, supposing that all the agents had the same probability distribution, as a convenience. However, Neumann and Morgenstern mentioned that a theory of subjective probability could be provided, and this task was completed by Jimmie Savage in 1954 [7] and Johann Pfanzagl in 1967. [8] Savage extended von Neumann and Morgenstern's axioms of rational preferences to endogenize probability and make it subjective. He then used Bayes' theorem to update these subject probabilities in light of new information, thus linking rational choice and inference.

See also

Related Research Articles

Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief.

Zero-sum game is a mathematical representation in game theory and economic theory of a situation that involves two competing entities, where the result is an advantage for one side and an equivalent loss for the other. In other words, player one's gain is equivalent to player two's loss, with the result that the net improvement in benefit of the game is zero.

In economics, utility is a measure of a certain person's satisfaction from a certain state of the world. Over time, the term has been used with at least two meanings.

<span class="mw-page-title-main">Risk aversion</span> Economics theory

In economics and finance, risk aversion is the tendency of people to prefer outcomes with low uncertainty to those outcomes with high uncertainty, even if the average outcome of the latter is equal to or higher in monetary value than the more certain outcome.

<span class="mw-page-title-main">Decision theory</span> Branch of applied probability theory

Decision theory or the theory of rational choice is a branch of probability, economics, and analytic philosophy that uses the tools of expected utility and probability to model how individuals would behave rationally under uncertainty. It differs from the cognitive and behavioral sciences in that it is mainly prescriptive and concerned with identifying optimal decisions for a rational agent, rather than describing how people actually make decisions. Despite this, the field is important to the study of real human behavior by social scientists, as it lays the foundations to mathematically model and analyze individuals in fields such as sociology, economics, criminology, cognitive science, and political science.

The expected utility hypothesis is a foundational assumption in mathematical economics concerning decision making under uncertainty. It postulates that rational agents maximize utility, meaning the subjective desirability of their actions. Rational choice theory, a cornerstone of microeconomics, builds this postulate to model aggregate social behaviour.

<span class="mw-page-title-main">Oskar Morgenstern</span> German economist (1902–1977)

Oskar Morgenstern was a German-born economist. In collaboration with mathematician John von Neumann, he founded the mathematical field of game theory as applied to the social sciences and strategic decision-making, as well as making major contributions to decision theory.

In decision theory, subjective expected utility is the attractiveness of an economic opportunity as perceived by a decision-maker in the presence of risk. Characterizing the behavior of decision-makers as using subjective expected utility was promoted and axiomatized by L. J. Savage in 1954 following previous work by Ramsey and von Neumann. The theory of subjective expected utility combines two subjective concepts: first, a personal utility function, and second a personal probability distribution.

<span class="mw-page-title-main">Ralph Fox</span> American mathematician

Ralph Hartzler Fox was an American mathematician. As a professor at Princeton University, he taught and advised many of the contributors to the Golden Age of differential topology, and he played an important role in the modernization of knot theory and of bringing it into the mainstream.

In economics, a cardinal utility expresses not only which of two outcomes is preferred, but also the intensity of preferences, i.e. how much better or worse one outcome is compared to another.

<span class="mw-page-title-main">Oskar Perron</span> German mathematician (1880–1975)

Oskar Perron was a German mathematician.

<span class="mw-page-title-main">Luther P. Eisenhart</span> American mathematician (1876–1965)

Luther Pfahler Eisenhart was an American mathematician, best known today for his contributions to semi-Riemannian geometry.

<span class="mw-page-title-main">Nathan Jacobson</span> American mathematician (1910–1999)

Nathan Jacobson was an American mathematician.

The Allais paradox is a choice problem designed by Maurice Allais to show an inconsistency of actual observed choices with the predictions of expected utility theory. The Allais paradox demonstrates that individuals rarely make rational decisions consistently when required to do so immediately. The independence axiom of expected utility theory, which requires that the preferences of an individual should not change when altering two lotteries by equal proportions, was proven to be violated by the paradox.

Generalized expected utility is a decision-making metric based on any of a variety of theories that attempt to resolve some discrepancies between expected utility theory and empirical observations, concerning choice under risky (probabilistic) or uncertain circumstances. Given its motivations and approach, generalized expected utility theory may properly be regarded as a subfield of behavioral economics, but it is more frequently located within mainstream economic theory.

<span class="mw-page-title-main">Jacob Marschak</span> American economist (1898–1977)

Jacob Marschak was an American economist.

In decision theory and economics, ambiguity aversion is a preference for known risks over unknown risks. An ambiguity-averse individual would rather choose an alternative where the probability distribution of the outcomes is known over one where the probabilities are unknown. This behavior was first introduced through the Ellsberg paradox.

<span class="mw-page-title-main">Griffith C. Evans</span> American mathematician

Griffith Conrad Evans was a mathematician working for much of his career at the University of California, Berkeley. He is largely credited with elevating Berkeley's mathematics department to a top-tier research department, having recruited many notable mathematicians in the 1930s and 1940s.

<span class="mw-page-title-main">Von Neumann–Morgenstern utility theorem</span> Any individual whose preferences satisfy four axioms has a utility function

In decision theory, the von Neumann–Morgenstern (VNM) utility theorem demonstrates that rational choice under uncertainty involves making decisions that take the form of maximizing the expected value of some cardinal utility function. This function is known as the von Neumann–Morgenstern utility function. The theorem forms the foundation of expected utility theory.

<span class="mw-page-title-main">Edward J. McShane</span> American mathematician

Edward James McShane was an American mathematician noted for his advancements of the calculus of variations, integration theory, stochastic calculus, and exterior ballistics. His name is associated with the McShane–Whitney extension theorem and McShane integral. McShane was professor of mathematics at the University of Virginia, president of the American Mathematical Society, president of the Mathematical Association of America, a member of the National Science Board and a member of both the National Academy of Sciences and the American Philosophical Society.

References

  1. Copeland, A. H. (1945). "Review: Theory of Games and Economic Behavior by John von Neumann and Oskar Morgenstern" (PDF). Bull. Amer. Math. Soc. 51 (7): 498–504. doi: 10.1090/s0002-9904-1945-08391-8 .
  2. Mirowski, Philip (1992). "What Were von Neumann and Morgenstern Trying to Accomplish?". In Weintraub, E. Roy (ed.). Toward a History of Game Theory. Durham: Duke University Press. pp. 113–147. ISBN   0-8223-1253-0.
  3. Kattsoff, Louis O. (1945). "Review of Theory of Games and Economic Behavior". Social Forces. 24 (2): 245–246. doi:10.2307/2572550. ISSN   0037-7732. JSTOR   2572550.
  4. K., M. G. (1944). "Review of Theory of Games and Economic Behaviour". Journal of the Royal Statistical Society. 107 (3/4): 293. doi:10.2307/2981222. ISSN   0952-8385. JSTOR   2981222.
  5. Barna, T. (1946). "Review of Theory of Games and Economic Behaviour". Economica. 13 (50): 136–138. doi:10.2307/2550081. ISSN   0013-0427.
  6. von Neumann, John (1928). "Zur Theorie der Gesellschaftsspiele". Mathematische Annalen . 100: 295–300. doi:10.1007/bf01448847. S2CID   122961988.
  7. Savage, Leonard J. (1954). The Foundations of Statistics. New York: Dover.
  8. An axiomatization for subjective expected utility appeared in Pfanzagl (1967, 1968) and was endorsed by Morgenstern (1976): "Von Neumann and I have anticipated" the question whether probabilities "might, perhaps more typically, be subjective and have stated specifically that in the latter case axioms could be found from which could derive the desired numerical utility together with a number for the probabilities (c.f. p. 19 of The Theory of Games and Economic Behavior). We did not carry this out; it was demonstrated by Pfanzagl . . . with all the necessary rigor" (page 65).