Game theory is a multi-disciplinary approach to the study of human behavior, used in such fields as mathematics, economics, and the social sciences. By "games" we actually mean human interactions governed by opposing strategies of the people involved.
As an example, in a patent system, the first research lab to invent a device gets the patent. Game theorists will apply the principles of game theory to find out how many research labs need to be involved to establish a Nash equilibrium, and compare that to the most efficient number of labs. Everything else follows from there.
A good course in non-cooperative game theory will most likely deal with these areas:
The International Journal of Game Theory is a good place to stay up to date in this field, and game theory tutorials are not hard to find.
A Brief History of Game Theory
The work of Von Neumann and Morgenstern (1944) marked an official start of game theory. Then came the second milestone contribution of John Nash (1951), which basically becomes chapter 1 of any modern game theory textbook. In the 1950s, in the intense atmosphere of war, there were many brilliant breakthroughs in fundamental fields such as computer science, mathematics and physics that set the foundation and landmarks for today's standard. Some said it was a time when “giants roamed the Earth”.
Game theory considers interaction among individuals in a narrow context. A context is narrow when the action of one player can have influence over the course of the whole game, hence each player has to take into account the reasoning of the other in order to make their action. There are two parallel lines in game theory: cooperative game theory and non-cooperative game theory. The cooperative strand studies coalition and contract formation from a normative point of view. It answers questions such as: What should be the society we would like to enter? What kind of contract or coalition could we form? The non-cooperative approach (which becomes more prominent in modern game theory) starts from the individual's perspective. Starting from building blocks of decision theory such as preference and utility function, it investigates positive questions such as: What would really happen after we have all agreed to an agreement? Would we still comply with it? The rationale is that we would comply to an agreement if and only if it aligns with our own interest. In this non-cooperative realm, a Nash equilibrium is defined as a profile of players' actions that maximize the utility of everyone given their correct expectation on everyone else's behavior. There are two parts of this definition. First, the player maximizes his own expected utility based on some belief (or prediction) over the other's behavior. Second, that expectation turns out to be correct. In this way, a Nash equilibrium becomes a situation that is self-enforced (i.e. no one wants to deviate from her chosen action).
This is a broad concept because any self-fulfilling prophecy therefore can be a Nash equilibrium, making the number of Nash equilibria to be more than one. And some people may suggest that some Nash equilibria seem to be better (more rational or more equitable) than others; hence there have been many attempts to refine the Nash equilibrium concept which results in a vast amount of literature on refinements in the 1980s. Even now the problem of equilibrium selection remains open for active contribution. Game theory has had extensive applications in the study of cooperation and competition in society. Different situations can be captured in different hypothetical situation such as the Prisoner's Dilemma for the cooperative decision, the bargaining game for negotiating decision, and the trust game for investment decision. Further information on classical game theory can be found at Standford.edu.
Von Neumann, J.; Morgenstern, O. 1944. Princeton University Press. Theory of games and economic behavior. Princeton, NJ, US.
Nash, Jr. J. F., 1951. Noncooperative games. Annals Math., 54, 289-95.
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