A beautiful mind

This is the true story of John Nash and the inspiration behind the movie A Beautiful Mind. John Forbes Nash, Jr. (born June 13, 1928), is an American mathematician who works in game theory, differential geometry, and partial differential equations, serving as a Senior Research Mathematician at Princeton University. He shared the 1994 Nobel Memorial Prize in Economic Sciences with game theorists Reinhard Selten and John Harsanyi. Nash is also the subject of the Hollywood movie, A Beautiful Mind, which was nominated for eight Oscars, and was based on the biography of the same name about him, his mathematical genius and his struggle with schizophrenia.
  • He Saw The World In A Way No One Could Have Imagined.

Regie : Ron Howard

Year : 2001

Land : Amerika

Genre : Drama / Mystery

Cast : Russell Crowe, Ed Harris, Jennifer Connelly, Christopher Plummer, Paul Bettany, Adam Goldberg, Josh Lucas, Anthony Rapp e.a.

Time : 135 minuten

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This picture is based upon the biography of John Forbes Nash jr. by Sylvia Nasar, A Beautiful Mind: about the true story of the Nobel Prize-winning mathematical genius. Nash was born and raised in the state of West Virginia. He was born to electrical engineer John Forbes Nash and his wife Margaret Virginia Martin, an English and Latin teacher. On November 16, 1930 his sister Martha Nash was born. He was an avid reader of Compton's Pictured Encyclopedia, Life Magazine, and Time Magazine. Later he had a job at the Bluefield Daily Telegraph. At the age of twelve, he was carrying out scientific experiments in his room. It was quite apparent at a young age that he did not like working with other people, preferring to do things alone. He returned the social rejection of his classmates with practical jokes and intellectual superiority, believing their dances and sports to be a distraction from his experiments and studies. Martha, his younger sister, seems to have been a normal child, while John seemed different from other children. She wrote later in life: "Johnny was always different. [My parents] knew he was different. And they knew he was bright. He always wanted to do things his way. Mother insisted I do things for him, that I include him in my friendships... but I wasn't too keen on showing off my somewhat odd brother." In his autobiography, Nash notes that it was E.T. Bell's book, Men of Mathematics—in particular, the essay on Fermat—that first sparked his interest in mathematics. He attended classes at Bluefield College while still in high school. He later attended the Carnegie Institute of Technology (now Carnegie Mellon University) in Pittsburgh, Pennsylvania on a Westinghouse scholarship, where he studied first chemical engineering and later chemistry before switching to mathematics. He received both his bachelor's degree and his master's degree in 1948 while at the Carnegie Institute. After graduation, Nash took a summer job in White Oak, Maryland, working on a Navy research project being run by Clifford Truesdell.

John Nash
John Nash
Nash began to show signs of schizophrenia in 1958. He became paranoid and was admitted into the McLean Hospital, April–May 1959, where he was diagnosed with paranoid schizophrenia and mild depression with low self-esteem. After a problematic stay in Paris and Geneva, Nash returned to Princeton in 1960. He remained in and out of mental hospitals until 1970, being given insulin shock therapy and antipsychotic medications, usually as a result of being committed rather than by his choice. After 1970, by his choice, he never took antipsychotic medication again. According to his biographer Nasar, he recovered gradually with the passage of time. Encouraged by his wife, Alicia, Nash worked in a communitarian setting where his eccentricities were accepted. In campus legend, Nash became "The Phantom of Fine Hall" (Fine Hall is Princeton's mathematics center), a shadowy figure who would scribble arcane equations on blackboards in the middle of the night. The legend appears in a work of fiction based on Princeton life, The Mind-Body Problem, by Rebecca Goldstein.

In 1978, Nash was awarded the John von Neumann Theory Prize for his invention of non-cooperative equilibria, now called Nash equilibria. He won the Leroy P. Steele Prize in 1999. In 1994, he received the Nobel Memorial Prize in Economic Sciences (along with two others), as a result of his game theory work as a Princeton graduate student. In the late 1980s, Nash had begun to use electronic mail to gradually link with working mathematicians who realized that he was "the" John Nash and that his new work had value. They formed part of the nucleus of a group that contacted the Bank of Sweden's Nobel award committee and were able to vouch for Nash's mental health ability to receive the award in recognition of his early work. Nash's recent work involves ventures in advanced game theory, including partial agency, that show that, as in his early career, he prefers to select his own path and problems. Between 1945 and 1996, he published 23 scientific studies. Nash also created two popular games: Hex (independently created first in 1942 by Piet Hein), and So Long Sucker in 1950 with M. Hausner and Lloyd S. Shapley.

Game Theory Game theory is the study of the ways in which strategic interactions among rational players produce outcomes with respect to the preferences (or utilities) of those players, none of which might have been intended by any of them. The meaning of this statement will not be clear to the non-expert until each of the italicized words and phrases has been explained and featured in some examples. Doing this will be the main business of this article. First, however, we provide some historical and philosophical context in order to motivate the reader for all of this technical work ahead.

What economists call game theory psychologists call the theory of social situations, which is an accurate description of what game theory is about. Although game theory is relevant to parlor games such as poker or bridge, most research in game theory focuses on how groups of people interact. There are two main branches of game theory: cooperative and noncooperative game theory. Noncooperative game theory deals largely with how intelligent individuals interact with one another in an effort to achieve their own goals.

In addition to game theory, economic theory has three other main branches: decision theory, general equilibrium theory and mechanism design theory. All are closely connected to game theory. Decision theory can be viewed as a theory of one person games, or a game of a single player against nature. The focus is on preferences and the formation of beliefs. The most widely used form of decision theory argues that preferences among risky alternatives can be described by the maximization the expected value of a numerical utility function, where utility may depend on a number of things, but in situations of interest to economists often depends on money income. Probability theory is heavily used in order to represent the uncertainty of outcomes, and Bayes Law is frequently used to model the way in which new information is used to revise beliefs. Decision theory is often used in the form of decision analysis, which shows how best to acquire information before making a decision.

General equilibrium theory can be viewed as a specialized branch of game theory that deals with trade and production, and typically with a relatively large number of individual consumers and producers. It is widely used in the macroeconomic analysis of broad based economic policies such as monetary or tax policy, in finance to analyze stock markets, to study interest and exchange rates and other prices. In recent years, political economy has emerged as a combination of general equilibrium theory and game theory in which the private sector of the economy is modeled by general equilibrium theory, while voting behavior and the incentive of governments is analyzed using game theory. Issues studied include tax policy, trade policy, and the role of international trade agreements such as the European Union.

Mechanism design theory differs from game theory in that game theory takes the rules of the game as given, while mechanism design theory asks about the consequences of different types of rules. Naturally this relies heavily on game theory. Questions addressed by mechanism design theory include the design of compensation and wage agreements that effectively spread risk while maintaining incentives, and the design of auctions to maximize revenue, or achieve other goals.


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