Game theory
From Wikiquote
Game theory is a study of strategic decision making.
Quotes[edit]
Quotes are arranged alphabetically per author
A  F[edit]
 "Interactive Decision Theory" would perhaps be a more descriptive name for the discipline usually called Game Theory
 Robert Aumann (2000) Collected Papers: Vol. 1. p. 47
 There are quite a number of novel developments intended to meet the needs of a general theory of systems. We may enumerate them in brief survey:
 Cybernetics, based upon the principle of feedback or circular causal trains providing mechanisms for goalseeking and selfcontrolling behavior.
 Information theory, introducing the concept of information as a quantity measurable by an expression isomorphic to negative entropy in physics, and developing the principles of its transmission.
 Game theory, analyzing in a novel mathematical framework, rational competition between two or more antagonists for maximum gain and minimum loss.
 Decision theory, similarly analyzing rational choices, within human organizations, based upon examination of a given situation and its possible outcomes.
 Topology or relational mathematics, including nonmetrical fields such as network and graph theory.
 Factor analysis, i.e., isolation by way of mathematical analysis, of factors in multivariable phenomena in psychology and other fields
 General system theory in the narrower sense (G.S.T.), trying to derive from a general definition of “system” as complex of interacting components, concepts characteristic of organized wholes such as interaction, sum, mechanization, centralization, competition, finality, etc., and to apply them to concrete phenomena.
 While systems theory in the broad sense has the character of a basic science, it has its correlate in applied science, sometimes subsumed under the general name of Systems Science.
 Ludwig von Bertalanffy (1968) General System Theory. p. 9091
 An equilibrium is not always an optimum; it might not even be good. This may be the most important discovery of game theory.
 Ivar Ekeland (2006) The Best of All Possible Worlds. Chapter 7, May The Best One Win, p. 141
 A proven theorem of game theory states that every game with complete information possesses a saddle point and therefore a solution.
 Richard Arnold Epstein (1977) ''The Theory of Gambling and Statistical Logic (Revised Edition) Chapter Two, Mathematical Preliminaries, p. 36
 Like all of mathematics, game theory is a tautology whose conclusions are true because they are contained in the premises.
 Thomas Flanagan (1998) Game Theory and Canadian Politics Chapter 10, What Have We Learned?, p. 164
 That strategic rivalry in a longterm relationship may differ from that of a oneshot game is by now quite a familiar idea. Repeated play allows players to respond to each other’s actions, and so each player must consider the reactions of his opponents in making his decision. The fear of retaliation may thus lead to outcomes that otherwise would not occur. The most dramatic expression of this phenomenon is the celebrated "Folk Theorem." An outcome that Pareto dominates the minimax point is called individually rational. The Folk Theorem asserts that any individually rational outcome can arise as a Nash equilibrium in infinitely repeated games with sufficiently little discounting.
 Drew Fudenberg and Eric Maskin. "The folk theorem in repeated games with discounting or with incomplete information." Econometrica: Journal of the Econometric Society (1986): p. 533; Lead paragraph.
 By the end of the war the new game theoretic methods that had been developed by von Neumann and Morgenstern were added to the toolkit and mathematical techniques that operations research scientists deployed. These proved very valuable, and game theoretic approaches took on great importance after the war.
 M. Fortun, and S.S. Schweber (1993) "Scientists and the Legacy of World War II: The Case of Operations Research (OR)." Social Studies of Science Vol 23, p. 604
G  L[edit]
 Direct application of the theory of games to the solution of real problems has been rare, and its chief uses have been to offer some insight and understanding into the problems of competition (without actually solving them), and to provide mathematicians with new fields to conquer. Many important real problems involve more than two opponents, are not zerosum, and exceed the bounds of the most developed versions of game theory.
 Lindsey, G. R. (1979) "Looking back over the Development and Progress of Operational Research." In: K. B. Haley (ed.) Operational Research ‘78. Amsterdam: NorthHolland Publishing Company 1979, p. 13–31.
M  R[edit]
 Game theory can be defined as the study of mathematical models of conflict and cooperation between intelligent rational decisionmakers.
 Roger B. Myerson (1991). Game Theory: Analysis of Conflict, Harvard University Press, p. 1. (online)
 Game theory, however, deals only with the way in which ultrasmart, all knowing people should behave in competitive situations, and has little to say to Mr. X as he confronts the morass of his problem.
 Howard Raiffa (1982) The Art and Science of Negotiation Prologue, p. 2
 At present game theory has, in my opinion, two important uses, neither of them related to games nor to conflict directly. First, game theory stimulates us to think about conflict in a novel way. Second, game theory leads to some genuine impasses, that is, to situations where its axiomatic base is shown to be insufficient for dealing even theoretically with certain types of conflict situations... Thus, the impact is made on our thinking process themselves, rather than on the actual content of our knowledge.
 Anatol Rapoport. Fights, games, and debates. University of Michigan Press, 1960/1974. p. 242
 (Game theory is) essentially a structural theory. It uncovers the logical structure of a great variety of conflict situations and describes this structure in mathematical terms. Sometimes the logical structure of a conflict situation admits rational decisions; sometimes it does not.
 Anatol Rapoport Prisoner's dilemma: A study in conflict and cooperation. coauthored by Albert S. Chammah. Ann Arbor: The University of Michigan Press, 1965. p. 196
S  Z[edit]
 The last decade has seen a steady increase in the application of concepts from the theory of games to the study of evolution. Fields as diverse as sex ratio theory, animal distribution, contest behaviour and reciprocal altruism have contributed to what is now emerging as a universal way of thinking about phenotypic evolution... Paradoxically, it has turned out that game theory is more readily applied to biology than to the field of economic behavior for which it was originally designed
 John Maynard Smith (1973) Evolution and the Theory of Games p. vii
 The theory of games was first formalised by Von Neumann & Morgenstern (1953) in reference to human economic behaviour. Since that time, the theory has undergone extensive development... Sensibly enough, a central assumption of classical game theory is that the players will behave rationally, and according to some criterion of selfinterest. Such an assumption would clearly be out of place in an evolutionary context. Instead, the criterion of rationality is replaced by that of population dynamics and stability, and the criterion of selfinterest by Darwinian fitness.
 John Maynard Smith (1973) Evolution and the Theory of Games p. 12
 The cybernetics phase of cognitive science produced an amazing array of concrete results, in addition to its longterm (often underground) influence:
 the use of mathematical logic to understand the operation of the nervous system;
 the invention of information processing machines (as digital computers), thus laying the basis for artificial intelligence;
 the establishment of the metadiscipline of system theory, which has had an imprint in many branches of science, such as engineering (systems analysis, control theory), biology (regulatory physiology, ecology), social sciences (family therapy, structural anthropology, management, urban studies), and economics (game theory);[
 information theory as a statistical theory of signal and communication channels;
 the first examples of selforganizing systems.
 This list is impressive: we tend to consider many of these notions and tools an integrative part of our life...

 Francisco Varela (1991) The Embodied Mind p.38
 The implication of game theory, which is also the implication of the third image, is, however, that the freedom of choice of any one state is limited by the actions of the others.
 Kenneth Waltz (1954) Man, the State, and War Chapter VII, Some Implications Of The Third Image, p. 204