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On the Impact of Malicious Players  in Distributed Systems

On the Impact of Malicious Players in Distributed Systems

D istributed C omputing G roup. On the Impact of Malicious Players in Distributed Systems. Stefan Schmid. DYNAMO’07: 1st Workshop on Dynamic Networks (Salerno, Italy, May 2007). Talk is based on PODC’06 paper, joint work with Dr. Thomas Moscibroda, MS Research

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Nash equilibrium

Nash equilibrium

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NASH EQUILIBRIUM

NASH EQUILIBRIUM

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Nash Equilibrium

Nash Equilibrium

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Nash Equilibrium. A strategy combination (a,b) is a Nash equilibrium for two players if neither player would unilaterally deviate if he expected the other player to choose according to (a,b).

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Nash Equilibrium

Nash Equilibrium

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Computing Nash Equilibrium

Computing Nash Equilibrium

Computing Nash Equilibrium. Presenter: Yishay Mansour. Outline. Problem Definition Notation Last week: Zero-Sum game This week: Zero Sum: Online algorithm General Sum Games Multiple players – approximate Nash 2 players – exact Nash. Model. Multiple players N={1, ... , n}

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Computing Nash Equilibrium

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Nash Equilibrium: Theory

Nash Equilibrium: Theory

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Computing Nash Equilibrium

Computing Nash Equilibrium

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