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computing game-theoretic solutions - CS.Duke
computing game-theoretic solutions - CS.Duke

Nash equilibrium and its proof using Fix Point Theorems
Nash equilibrium and its proof using Fix Point Theorems

... • Sperner’s lemma claims that there exists at least one small triangle (i.e. not the big triangle we started with) whose vertices are labeled with three different numbers. Sperner’s lemma can be generalized to n-dimensional simplex. Proof: We first proof Sperner’s lemma is correct in 1-dimensional ...
Answers to Practice Questions 10
Answers to Practice Questions 10

... JUST TO START 1) Game theory, when applied to an oligopoly situation, a) illustrates the tension between self-interest and cooperation. b) relies on the logic of firms pursing their own self-interests. c) relies on the notion that each firm chooses its best strategy, given the strategies that other ...
Team-Maxmin Equilibria
Team-Maxmin Equilibria

... particularly reasonable under a worst-case assumption, since the adversary may even get to know the team’s profile. The same defensive approach may be taken by the adversary of the team. In that case, she uses a minmax strategy by randomizing such that the largest expected payoff Žwhich is her cost. ...
Extensive Form - London School of Economics
Extensive Form - London School of Economics

Game Theory and the Cuban Missile Crisis
Game Theory and the Cuban Missile Crisis

... interactions. It applies to situations (games) where there are two or more people (called players) each attempting to choose between two more more ways of acting (called strategies). The possible outcomes of a game depend on the choices made by all players, and can be ranked in order of preference b ...
GAMES WITH COSTLY WINNINGS 1. Introduction We present a
GAMES WITH COSTLY WINNINGS 1. Introduction We present a

Fast Computing of Restricted Nash Responses by Means of Sampling
Fast Computing of Restricted Nash Responses by Means of Sampling

... A (p, σf ix ) RNR equilibrium is a pair of strategies (σ1∗ , σ2∗ ) where σ2∗ ∈ BRp,σf ix (σ1∗ ) and σ1∗ ∈ BR(σ2∗ ). In this pair, the strategy σ1∗ is a p-restricted Nash response to σf ix . These are counter-strategies for σf ix , where p provides a balance between exploitation and exploitability. J ...
Robust equilibria and ε-dominance
Robust equilibria and ε-dominance

... second seems not to apply well to games with simple structures like centipede or traveler’s dilemma, especially with sophisticated agents,1 the third typically lacks specificity in its predictions, and the fourth depends on the choice both of a type of smoothing function and a diffusion parameter. ...
Lecture 8 (More on mixed strategies
Lecture 8 (More on mixed strategies

... • In a two-player game, you might assume other player always does what is worst for you. • Given that assumption, you would choose the strategy such that gives you the best payoff available if the other player always does what is worst for you given your strategy. ...
Extensive Form - London School of Economics
Extensive Form - London School of Economics

Game theory and the Cuban missile crisis
Game theory and the Cuban missile crisis

... decision-making in social interactions. It applies to situations (games) where there are two or more people (called players) each attempting to choose between two more more ways of acting (called strategies). The possible outcomes of a game depend on the choices made by all players, and can be ranke ...
Network Theory - Department of Mathematics
Network Theory - Department of Mathematics

... In applications to chemistry, this quantity is ‘free energy’. Free energy always decreases, and takes its minimum value in equilibrium. This is a way of saying that entropy approaches a maximum subject to certain constraints. In certain evolutionary games, this result is related to Fisher’s Fundame ...
gt2 - Carnegie Mellon School of Computer Science
gt2 - Carnegie Mellon School of Computer Science

... • MIP Nash is best at finding optimal equilibria • Lemke-Howson and PNS are good at finding sample equilibria – M-Enum is an algorithm similar to Lemke-Howson for enumerating all equilibria ...
PROBLEM SET #7 1. A dominant strategy is a strategy that A. results
PROBLEM SET #7 1. A dominant strategy is a strategy that A. results

Multi-Agent Learning II: Algorithms - Stanford Artificial Intelligence
Multi-Agent Learning II: Algorithms - Stanford Artificial Intelligence

... Thus after five repetitions of the Rochambeau game in which the opponent played (R, S, P, R, P ), the current model of her mixed strategy is (R = .4, P = .4, S = .2). There exist many variants of the general scheme, for example those in which one does not play the exact best response in step 2. This ...
Topic 7. Market failure and the theory of second best
Topic 7. Market failure and the theory of second best

... behaviour.  Strategies are a plan of how players (firms) will behave in particular states of the game (market conditions).  Payoffs are the outcomes for each player (firm) that result from the actions of all players (firms). ...
game_2
game_2

... as the payoff from  for every possible choice of strategies by all of the other players. If the game has chance elements, we say that  dominates  if the mean payoff to X from  (averaged over all choices by Nature) is always at least as great as that from  . Two of X's strategies are equivalent ...
CUR 412: Game Theory and its Applications
CUR 412: Game Theory and its Applications

Economics 142 Problem Set 2: Behavioral Game Theory Spring
Economics 142 Problem Set 2: Behavioral Game Theory Spring

THE APPLICATION OF THE GAME THEORY TO THE
THE APPLICATION OF THE GAME THEORY TO THE

... of the actions of the competitor. As can be seen from the payoff matrix, if company A charges 5€, company B is more profitable if it charges the price of €5 (€50 compared to €35, which they would accrue if they charged €8 for their products). Also, if company B charges €5 for its products, it pays o ...
PRISM-games: A Model Checker for Stochastic Multi
PRISM-games: A Model Checker for Stochastic Multi

... whilst adding novel model checking algorithms for stochastic games, as well as functionality to synthesise optimal player strategies, explore or export them, and verify other properties under the specified strategy. ...
6 The Mixing Problem: Purification and Conjectures
6 The Mixing Problem: Purification and Conjectures

... implementation costs, but in this case they play a critical role in evaluating the relative costs of playing a mixed strategy best response or any of the pure strategies in its support. Hence the mixing problem: why bother ...
gameproblems
gameproblems

... costs associated with waterbed production are the initial costs of building a plant. This company has already invested in a plant capable of producing up to 25,000 beds and this is a sunk cost (and therefore irrelevant for current pricing decisions). (a) suppose a would-be entrant to this industry c ...
A Framework for Reasoning about Rational Agents
A Framework for Reasoning about Rational Agents

... to model and reason about rational behavior of agents. In our approach, some strategies (or rather strategy profiles) can be assumed plausible, and one can reason about what can be plausibly achieved by agents under such an assumption. This idea has been inspired by the way in which games are analyz ...
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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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