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Autores principales: Deng, Xiaotie, Gan, Hangxin, Li, Ningyuan, Li, Weian, Qi, Qi
Formato: Preprint
Publicado: 2023
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Acceso en línea:https://arxiv.org/abs/2307.07174
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author Deng, Xiaotie
Gan, Hangxin
Li, Ningyuan
Li, Weian
Qi, Qi
author_facet Deng, Xiaotie
Gan, Hangxin
Li, Ningyuan
Li, Weian
Qi, Qi
contents 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 from the attracted customers. We investigate both symmetric and asymmetric settings involving agents and customers. In the symmetric setting, the existence of pure Nash equilibrium (PNE) is guaranteed, but finding a PNE is PLS-complete. To address this, we propose a fully polynomial time approximation scheme to identify an approximate PNE. Moreover, the tight Price of Anarchy (PoA) is established. In the asymmetric setting, we show the nonexistence of PNE in certain instances and establish that determining its existence is NP-hard. Nevertheless, we prove the existence of an approximate PNE. Additionally, when agents select topics sequentially, we demonstrate that finding a subgame-perfect equilibrium is PSPACE-hard. Furthermore, we present the sequential PoA for the two-agent setting.
format Preprint
id arxiv_https___arxiv_org_abs_2307_07174
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Equilibrium Analysis of Customer Attraction Games
Deng, Xiaotie
Gan, Hangxin
Li, Ningyuan
Li, Weian
Qi, Qi
Computer Science and Game Theory
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 from the attracted customers. We investigate both symmetric and asymmetric settings involving agents and customers. In the symmetric setting, the existence of pure Nash equilibrium (PNE) is guaranteed, but finding a PNE is PLS-complete. To address this, we propose a fully polynomial time approximation scheme to identify an approximate PNE. Moreover, the tight Price of Anarchy (PoA) is established. In the asymmetric setting, we show the nonexistence of PNE in certain instances and establish that determining its existence is NP-hard. Nevertheless, we prove the existence of an approximate PNE. Additionally, when agents select topics sequentially, we demonstrate that finding a subgame-perfect equilibrium is PSPACE-hard. Furthermore, we present the sequential PoA for the two-agent setting.
title Equilibrium Analysis of Customer Attraction Games
topic Computer Science and Game Theory
url https://arxiv.org/abs/2307.07174