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We consider existence and uniqueness of Nash equilibria in an $N$-player game of utility maximization under relative performance criteria of multiplicative form in complete semimartingale markets. For a large class of players' utility…

数理金融 · 定量金融 2023-03-15 Anastasiya Tanana

We consider the problem in which n items arrive to a market sequentially over time, where two agents compete to choose the best possible item. When an agent selects an item, he leaves the market and obtains a payoff given by the value of…

计算机科学与博弈论 · 计算机科学 2022-04-12 Fabien Gensbittel , Dana Pizarro , Jérôme Renault

In this work we introduce a new model of decision-making by agents in a social network. Agents have innate preferences over the strategies but, because of the social interactions, the decision of the agents are not only affected by their…

计算机科学与博弈论 · 计算机科学 2020-02-05 Angelo Fanelli , Dimitris Fotakis

We investigate both stationary and time-varying, nonmonotone generalized Nash equilibrium problems that exhibit symmetric interactions among the agents, which are known to be potential. As may happen in practical cases, however, we envision…

最优化与控制 · 数学 2024-07-09 Filippo Fabiani , Andrea Simonetto , Paul J. Goulart

We study the issues of existence and inefficiency of pure Nash equilibria in linear congestion games with altruistic social context, in the spirit of the model recently proposed by de Keijzer {\em et al.} \cite{DSAB13}. In such a framework,…

计算机科学与博弈论 · 计算机科学 2013-08-16 Vittorio Bilò

We study the pay-as-bid auction game, a supply function model with discriminatory pricing and asymmetric firms. In this game, strategies are non-decreasing supply functions relating pric to quantity and the exact choice of the strategy…

最优化与控制 · 数学 2025-04-23 Martina Vanelli , Giacomo Como , Fabio Fagnani

Multiagent learning is a necessary yet challenging problem as multiagent systems become more prevalent and environments become more dynamic. Much of the groundbreaking work in this area draws on notable results from game theory, in…

多智能体系统 · 计算机科学 2011-07-04 M. Bowling , M. Veloso

We consider competitive facility location as a two-stage multi-agent system with two types of clients. For a given host graph with weighted clients on the vertices, first facility agents strategically select vertices for opening their…

计算机科学与博弈论 · 计算机科学 2024-07-10 Simon Krogmann , Pascal Lenzner , Alexander Skopalik , Marc Uetz , Marnix C. Vos

We model a system of n asymmetric firms selling a homogeneous good in a common market through a pay-as-bid auction. Every producer chooses as its strategy a supply function returning the quantity S(p) that it is willing to sell at a minimum…

系统与控制 · 电气工程与系统科学 2023-06-14 Martina Vanelli , Giacomo Como , Fabio Fagnani

We apply control theoretic and optimization techniques to adaptively design incentives. In particular, we consider the problem of a planner with an objective that depends on data from strategic decision makers. The planner does not know the…

计算机科学与博弈论 · 计算机科学 2018-06-18 Lillian J. Ratliff , Tanner Fiez

We study how to incentivize agents in a target group to produce a higher output in the context of incomplete information, by means of rank-order allocation contests. We describe a symmetric Bayes--Nash equilibrium for contests that have two…

计算机科学与博弈论 · 计算机科学 2022-05-02 Edith Elkind , Abheek Ghosh , Paul Goldberg

We study a static game played by a finite number of agents, in which agents are assigned independent and identically distributed random types and each agent minimizes its objective function by choosing from a set of admissible actions that…

概率论 · 数学 2017-02-08 Daniel Lacker , Kavita Ramanan

We consider multi-agent decision making, where each agent optimizes its cost function subject to constraints. Agents' actions belong to a compact convex Euclidean space and the agents' cost functions are coupled. We propose a distributed…

最优化与控制 · 数学 2016-12-01 Tatiana Tatarenko , Maryam Kamgarpour

We consider multi-agent decision making where each agent's cost function depends on all agents' strategies. We propose a distributed algorithm to learn a Nash equilibrium, whereby each agent uses only obtained values of her cost function at…

多智能体系统 · 计算机科学 2019-04-04 Tatiana Tatarenko , Maryam Kamgarpour

Nash`s classical bargaining solution suggests that n players in a non-cooperative bargaining situation should find a solution that maximizes the product of each player's utility functions. We consider a special case: Suppose that the…

偏微分方程分析 · 数学 2017-12-21 Micah Warren

Recently, strategic games inspired by Schelling's influential model of residential segregation have been studied in the TCS and AI literature. In these games, agents of k different types occupy the nodes of a network topology aiming to…

计算机科学与博弈论 · 计算机科学 2024-03-15 Lata Narayanan , Yasaman Sabbagh , Alexandros A. Voudouris

In this paper, we investigate the effect of brand in market competition. Specifically, we propose a variant Hotelling model where companies and customers are represented by points in an Euclidean space, with axes being product features. $N$…

计算机科学与博弈论 · 计算机科学 2016-04-07 Zhixuan Fang , Longbo Huang

We introduce a game model called "customer attraction game" to demonstrate the competition among online content providers. In this model, customers exhibit interest in various topics. Each content provider selects one topic and benefits…

计算机科学与博弈论 · 计算机科学 2024-10-11 Xiaotie Deng , Hangxin Gan , Ningyuan Li , Weian Li , Qi Qi

The use of game theoretic methods for control in multiagent systems has been an important topic in recent research. Valid utility games in particular have been used to model real-world problems; such games have the convenient property that…

计算机科学与博弈论 · 计算机科学 2022-09-16 David Grimsman , Philip N. Brown , Jason R. Marden

We consider a game of decentralized timing of jobs to a single server (machine) with a penalty for deviation from a due date, and no delay costs. The jobs' sizes are homogeneous and deterministic. Each job belongs to a single decision…

计算机科学与博弈论 · 计算机科学 2017-10-17 Amihai Glazer , Refael Hassin , Liron Ravner