東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Dynamic Mechanism Design: From Theor...

Zhang, Tao.

Linked to FindBook

Google Book

Amazon

博客來

Dynamic Mechanism Design: From Theories to Applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Dynamic Mechanism Design: From Theories to Applications./
Author:	Zhang, Tao.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	552 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Contained By:	Dissertations Abstracts International85-05B.
Subject:	Engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30637834
ISBN:	9798380847544

Dynamic Mechanism Design: From Theories to Applications.
Zhang, Tao.

Dynamic Mechanism Design: From Theories to Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 552 p.

Source: Dissertations Abstracts International, Volume: 85-05, Section: B.

Thesis (Ph.D.)--New York University Tandon School of Engineering, 2023.

As technological integration with society advances, the transformation from traditional infrastructure to cyber-physical social systems (CPSS) becomes evident. The emergence of smart systems across diverse sectors and the advent of technologies like 5G have reshaped real-time decision-making and accelerated cross-domain interactions. Yet, this rapid evolution of CPSS has inadvertently sparked challenges surrounding inefficiency, security, and privacy. These challenges are further magnified by information asymmetries, diverse local objectives, self-interests of various entities, and the looming threat of malicious actors.This thesis presents a comprehensive exploration into the mechanisms and methodologies to influence decision-making models within multi-agent systems, striving to achieve holistic system-wide outcomes in CPSS. The research encompasses both descriptive perspectives for real-world CPSS applications and prescriptive solutions rooted in rigorous mathematical principles, with a spotlight on competitive systems of self-interested agents (i.e., games) in dynamic and stochastic environments.A pivotal segment of this research delves into dynamic mechanism design, tailored for scenarios where agents possess both informational and autonomous advantages. By considering the time evolution of agents' private information, the study establishes pioneering paradigms that extend beyond conventional incentive approaches. Dynamic information design, another cornerstone of this work, extends beyond conventional Bayesian persuasion to explore general-sum stochastic games, wherein agents confront evolving uncertainties and strategically choose from a spectrum of multiple signaling options. A novel dynamic programming principle, underpinned by the ``fixed-point alignment" equilibrium characterization, emerges from this exploration.On the application front, this research develops an ADMM-based dynamic differentially private learning algorithm, emphasizing the temporal preservation of data privacy. Notably, this methodology has been further tailored and applied to collaborative intrusion detection systems over vehicular ad hoc networks (VANET), offering a robust solution to protect vehicle network interactions. Additionally, the research explores the intricacies of market design for privacy data trading, providing a pioneering approach to valuing and exchanging data privacy efficiently. Concurrently, the evolving landscape of cybersecurity underscores the quintessential role of game theory, particularly when countering intelligent and adaptable cyber threats. In summation, this thesis offers an integrative framework and methodologies to navigate, design, and optimize multi-agent systems within the expansive domain of CPSS, seamlessly bridging theoretical constructs with pragmatic applications.In essence, the discoveries elucidated within this dissertation serve as pioneering strides towards an evolving conceptual framework for cyber-physical social systems. This framework bridges the divide between dynamic multi-agent decision-making processes and the intricate interplay of societal constraints, weaving them seamlessly into the fabric of modern technological landscapes.

ISBN: 9798380847544Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Stochastic environments

Dynamic Mechanism Design: From Theories to Applications.
LDR:04368nmm a2200373 4500 001 2399421
005 20240916065436.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380847544
035 $a (MiAaPQ)AAI30637834
035 $a AAI30637834
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zhang, Tao. $3 1903658
245 1 0 $a Dynamic Mechanism Design: From Theories to Applications.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 552 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
500 $a Advisor: Zhu, Quanyan.
502 $a Thesis (Ph.D.)--New York University Tandon School of Engineering, 2023.
520 $a As technological integration with society advances, the transformation from traditional infrastructure to cyber-physical social systems (CPSS) becomes evident. The emergence of smart systems across diverse sectors and the advent of technologies like 5G have reshaped real-time decision-making and accelerated cross-domain interactions. Yet, this rapid evolution of CPSS has inadvertently sparked challenges surrounding inefficiency, security, and privacy. These challenges are further magnified by information asymmetries, diverse local objectives, self-interests of various entities, and the looming threat of malicious actors.This thesis presents a comprehensive exploration into the mechanisms and methodologies to influence decision-making models within multi-agent systems, striving to achieve holistic system-wide outcomes in CPSS. The research encompasses both descriptive perspectives for real-world CPSS applications and prescriptive solutions rooted in rigorous mathematical principles, with a spotlight on competitive systems of self-interested agents (i.e., games) in dynamic and stochastic environments.A pivotal segment of this research delves into dynamic mechanism design, tailored for scenarios where agents possess both informational and autonomous advantages. By considering the time evolution of agents' private information, the study establishes pioneering paradigms that extend beyond conventional incentive approaches. Dynamic information design, another cornerstone of this work, extends beyond conventional Bayesian persuasion to explore general-sum stochastic games, wherein agents confront evolving uncertainties and strategically choose from a spectrum of multiple signaling options. A novel dynamic programming principle, underpinned by the ``fixed-point alignment" equilibrium characterization, emerges from this exploration.On the application front, this research develops an ADMM-based dynamic differentially private learning algorithm, emphasizing the temporal preservation of data privacy. Notably, this methodology has been further tailored and applied to collaborative intrusion detection systems over vehicular ad hoc networks (VANET), offering a robust solution to protect vehicle network interactions. Additionally, the research explores the intricacies of market design for privacy data trading, providing a pioneering approach to valuing and exchanging data privacy efficiently. Concurrently, the evolving landscape of cybersecurity underscores the quintessential role of game theory, particularly when countering intelligent and adaptable cyber threats. In summation, this thesis offers an integrative framework and methodologies to navigate, design, and optimize multi-agent systems within the expansive domain of CPSS, seamlessly bridging theoretical constructs with pragmatic applications.In essence, the discoveries elucidated within this dissertation serve as pioneering strides towards an evolving conceptual framework for cyber-physical social systems. This framework bridges the divide between dynamic multi-agent decision-making processes and the intricate interplay of societal constraints, weaving them seamlessly into the fabric of modern technological landscapes.
590 $a School code: 1988.
650 4 $a Engineering. $3 586835
650 4 $a Electrical engineering. $3 649834
653 $a Stochastic environments
653 $a Cyber-physical social systems
653 $a Mechanism design
653 $a Vehicular ad hoc networks
690 $a 0537
690 $a 0796
690 $a 0544
710 2 $a New York University Tandon School of Engineering. $b Electrical & Computer Engineering. $3 3694303
773 0 $t Dissertations Abstracts International $g 85-05B.
790 $a 1988
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30637834