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Algorithmic Game Theory Summative Assignment: Nash equilibria and Auction

Algorithmic Game TheoryAuctionLoad Balancing

Two players, Player 1 and Player 2, take turns removing 1 or 2 cards from a stack of 6 cards, i.e., each of them, every time their turn comes, pick 1 or 2 cards to remove. Player 1 starts the game. Whoever picks the last card wins 1 unit of payo↵ from the other player

COMP34612: Computational Game Theory Group Project: 2-person Stackelberg pricing games

COMP34612Computational Game TheoryStackelberg pricing games

Your task is to create a program that stimulates playing repeated 2-person Stackelberg pricing games as the leader, under conditions of imperfect information.

[2021] Economics 482 Game Theory and Economics - Midterm Exam - Q1 Nash equilibrium

Game Theory and EconomicsMidterm ExamNash equilibriumDominant ActionRutgersThe State University of New Jersey

This question is part of the Economics 482 Game Theory and Economics, midterm exam 2021 Spring, Rutgers, The State University of New Jersey.

[2021] Economics 482 Game Theory and Economics - Midterm Exam - Q2 Cournot Competition

Game Theory and EconomicsMidterm ExamNash equilibriumDominant ActionRutgersThe State University of New Jersey

This question is part of the Economics 482 Game Theory and Economics, midterm exam 2021 Spring, Rutgers, The State University of New Jersey. Payoff Matirx

[2021] Economics 482 Game Theory and Economics - Midterm Exam - Q3 Hotelling Game Nash Equilibrium

Game Theory and EconomicsMidterm ExamNash equilibriumDominant ActionRutgersThe State University of New Jersey

This question is part of the Economics 482 Game Theory and Economics, midterm exam 2021 Spring, Rutgers, The State University of New Jersey. Hotelling Game

Stat155 Game Theory - 2022 Fall - Homework 3: Algorithmic Mechanism Design and Revenue Maximizing

Single-Item AuctionsFirst-Price AuctionsSecond-Price AuctionsSponsored Search AuctionsAllocation and Payment RulesMyerson’s Lemma

Continuing the previous exercise, restrict now to feasible sets X that contain only 0-1 vectors—that is, each bidder either wins or loses. We can identify each feasible outcome with a “feasible set” of bidders (the winners).

Stat155 Game Theory - Homework 1: Incentive Problems, Nash equilibrium and Auctions

Mechanism Design BasicsSingle-Item AuctionsFirst-Price AuctionsSecond-Price AuctionsSponsored Search AuctionsStat155

Suppose there are k identical copies of an item and n > k bidders. Suppose also that each bidder can receive at most one item. What is the analog of the second-price auction? Prove that your auction is DSIC.

COMP6207 Algorithmic Game Theory - Coursework 3: Gale-Shaply Algorithm and Stable Matching Problem

University of SouthamptonSouthamptonCOMP6207Algorithmic Game TheoryGale-Shaply AlgorithmStable Matching Problem

Suppose the preferences of men and women are given by the following tables, in which 1 is their most preferred partner and 5 is their least preferred partner. Find a stable matching using the Gale-Shapley algorithm with men making proposals.

ETH Zu ̈rich Algorithmic Game Theory - Exercise Set 3: Nash equilibria and Congestion Game

Algorithmic Game TheorySocial WelfareNash Equilibrium

In this exercise, we adapt the definition of Price of Anarchy for cost-minimization games, to games with positive utilities in the natural way.

Economics 482 Game Theory and Economics - Problem Set 1 : Rock-Paper-Scissors and Dominant Strategy

Rutgers UniversityEconomics 482Game Theory and EconomicsRock-Paper-ScissorsDominant StrategyNash Equilibrium

The game Rock-Paper-Scissors is popular in several countries around the world (some- times under a different name). It is a game for two players, in which the players take single actions simultaneously. Thus

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