Randomization and computation in strategic settings

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Abstract/Contents

Abstract
This thesis considers the following question: In large-scale systems involving many self-interested participants, how can we effectively allocate scarce resources among competing interests despite strategic behavior by the participants, as well as the limited computational power of the system? Work at the interface between computer science and economics has revealed a fundamental tension between the economic objective, that of achieving the goals of the system designer despite strategic behavior, and the computational objective, that of implementing aspects of the system efficiently. In particular, this tension has been most apparent in systems that allocate resources deterministically. The realization that careful use of randomization can reconcile economic and computational goals is the starting point for this thesis. Our contributions are twofold: (1) We design randomized mechanisms for several fundamental problems of resource allocation; our mechanisms perform well even in the presence of strategic behavior, and can be implemented efficiently. (2) En route to our results, we develop new and flexible techniques for exploiting the power of randomization in the design of computationally-efficient mechanisms for resource allocation in strategic settings.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2011
Issuance monographic
Language English

Creators/Contributors

Associated with Dughmi, Shaddin Faris
Associated with Stanford University, Computer Science Department
Primary advisor Roughgarden, Tim
Thesis advisor Roughgarden, Tim
Thesis advisor Plotkin, Serge A
Thesis advisor Saberi, Amin
Advisor Plotkin, Serge A
Advisor Saberi, Amin

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Shaddin Dughmi.
Note Submitted to the Department of Computer Science.
Thesis Thesis (Ph.D.)--Stanford University, 2011.
Location electronic resource

Access conditions

Copyright
© 2011 by Shaddin Faris Dughmi
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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