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The Problem with Blondes
The Problem with Blondes

Modern Principles of Economics
Modern Principles of Economics

... Apple, it will be difficult for them to work together and their payoffs will be low (3,3). • Alex and Tyler receive the highest payoffs when both are using the same software.  If Alex chooses Apple, then Tyler should choose Apple as well since the payoffs are high (11,11). ...
Using Counterfactual Regret Minimization to Create Competitive
Using Counterfactual Regret Minimization to Create Competitive

Language-based Games - Cornell Computer Science
Language-based Games - Cornell Computer Science

The One-Third Law of Evolutionary Dynamics The Harvard
The One-Third Law of Evolutionary Dynamics The Harvard

Beyond Nash Equilibrium: Solution Concepts for the 21st Century
Beyond Nash Equilibrium: Solution Concepts for the 21st Century

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Natural Monopoly
Natural Monopoly

... • One firm achieves a lower cost of production than multiple firms would and MES is not reached. ...
Strategy Logic
Strategy Logic

How patient the players need to be to obtain all the relevant payoffs
How patient the players need to be to obtain all the relevant payoffs

Simple Formulas for Stationary Distributions and Stochastically
Simple Formulas for Stationary Distributions and Stochastically

... (1997), Young (1998, Sec. 4.5) and Benaim and Weibull (2003): we fix the noise level in the agents’ choice rules, and consider the limit of the stationary distributions as the population size grows large. In doing so, we adopt Binmore and Samuelson’s (1997) view that economic agents make mistakes at ...
ProbSet7.pdf
ProbSet7.pdf

Bounded Rationality :: Bounded Models
Bounded Rationality :: Bounded Models

... business cards. If ever the other player does not play as expected then the agent goes into a state of perpetual defection. The construction is such that the players must use all states to play the strategy and thus do not have any states remaining to count and apply backward induction. In fact, eve ...
Playing Large Games using Simple Strategies
Playing Large Games using Simple Strategies

... games to three and more, this is not the case for approximate equilibria. Computing -equilibria is important since they behave almost as well as exact Nash equilibria in several scenarios. In Section 3.2 we provide an interesting example based on the recent work by Vetta [31]. A second result (Sect ...
Calibrated Learning and Correlated Equilibrium
Calibrated Learning and Correlated Equilibrium

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Analysis of Efforts Put into Environmental Treatment and Solutions Mechanism

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... Suppose each decision node is a day of the week. On the third day (the decision node on the right), firm K decides between abiding (a) and cheating (c). K will choose c, because it yields a higher pay-off compared to a (3 > 2). On day 2, firm L therefore expects a pay-off of 3 if it abides (α) by th ...
Distributed Computing Meets Game Theory: Robust Mechanisms for Rational Secret Sharing and Multiparty Computation
Distributed Computing Meets Game Theory: Robust Mechanisms for Rational Secret Sharing and Multiparty Computation

Learning from Schelling - Create and Use Your home.uchicago.edu
Learning from Schelling - Create and Use Your home.uchicago.edu

Answers
Answers

Comparing the Notions of Optimality in Strategic Games and Soft... Krzysztof R. Apt F. Rossi and K. B. Venable
Comparing the Notions of Optimality in Strategic Games and Soft... Krzysztof R. Apt F. Rossi and K. B. Venable

... 1997), model problems with preferences using c-semirings. A c-semiring is a tuple hA, +, ×, 0, 1i, where: • A is a set, called the carrier of the semiring, and 0, 1 ∈ A; • + is commutative, associative, idempotent, 0 is its unit element, and 1 is its absorbing element; • × is associative, commutativ ...
Evolutionary Game Theory: The Game of Life
Evolutionary Game Theory: The Game of Life

... What about Sahar's choice? If Tina plays one finger, a payoff of 2 is better than 0, so Sahar would be better off picking one finger. Similarly, if Tina plays two fingers, a payoff of 1 is better than 0, so Sahar would again be better off picking one finger. Just like Tina, Sahar has a dominant stra ...
NECTAR: Nash Equilibrium Computation Algorithms
NECTAR: Nash Equilibrium Computation Algorithms

... other equilibrium points in games. Strategic Form Game: G=(N,(Si)iЄN,(ui)iЄN), where N = {1,2,…,n} is set of players, Si is strategy set for player i and ui is utility function for player i. Dominant Strategy Equilibrium: It is a strategy profile, consisting of one strategy per each player, in which ...
M - Sebastien Rouillon
M - Sebastien Rouillon

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... it comes to dealing with iterated admissibility (i.e., iterated deletion of weaklhy dominated strategies). As Mas-Colell, Whinston, and Green [1995, p. 240] put in their textbook when discussing iterated deletion of weakly dominated strategies: [T]he argument for deletion of a weakly dominated strat ...
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Prisoner's dilemma

The prisoner's dilemma is a standard example of a game analyzed in game theory that shows why two completely ""rational"" individuals might not cooperate, even if it appears that it is in their best interests to do so. It was originally framed by Merrill Flood and Melvin Dresher working at RAND in 1950. Albert W. Tucker formalized the game with prison sentence rewards and named it, ""prisoner's dilemma"" (Poundstone, 1992), presenting it as follows:Two members of a criminal gang are arrested and imprisoned. Each prisoner is in solitary confinement with no means of communicating with the other. The prosecutors lack sufficient evidence to convict the pair on the principal charge. They hope to get both sentenced to a year in prison on a lesser charge. Simultaneously, the prosecutors offer each prisoner a bargain. Each prisoner is given the opportunity either to: betray the other by testifying that the other committed the crime, or to cooperate with the other by remaining silent. The offer is: If A and B each betray the other, each of them serves 2 years in prison If A betrays B but B remains silent, A will be set free and B will serve 3 years in prison (and vice versa) If A and B both remain silent, both of them will only serve 1 year in prison (on the lesser charge)It is implied that the prisoners will have no opportunity to reward or punish their partner other than the prison sentences they get, and that their decision will not affect their reputation in the future. Because betraying a partner offers a greater reward than cooperating with him, all purely rational self-interested prisoners would betray the other, and so the only possible outcome for two purely rational prisoners is for them to betray each other. The interesting part of this result is that pursuing individual reward logically leads both of the prisoners to betray, when they would get a better reward if they both kept silent. In reality, humans display a systematic bias towards cooperative behavior in this and similar games, much more so than predicted by simple models of ""rational"" self-interested action. A model based on a different kind of rationality, where people forecast how the game would be played if they formed coalitions and then they maximize their forecasts, has been shown to make better predictions of the rate of cooperation in this and similar games given only the payoffs of the game.An extended ""iterated"" version of the game also exists, where the classic game is played repeatedly between the same prisoners, and consequently, both prisoners continuously have an opportunity to penalize the other for previous decisions. If the number of times the game will be played is known to the players, then (by backward induction) two classically rational players will betray each other repeatedly, for the same reasons as the single shot variant. In an infinite or unknown length game there is no fixed optimum strategy, and Prisoner's Dilemma tournaments have been held to compete and test algorithms.The prisoner's dilemma game can be used as a model for many real world situations involving cooperative behaviour. In casual usage, the label ""prisoner's dilemma"" may be applied to situations not strictly matching the formal criteria of the classic or iterative games: for instance, those in which two entities could gain important benefits from cooperating or suffer from the failure to do so, but find it merely difficult or expensive, not necessarily impossible, to coordinate their activities to achieve cooperation.
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