Randomization and Computation in Strategic Settings

Randomization and Computation in Strategic Settings PDF Author: Shaddin Faris Dughmi
Publisher: Stanford University
ISBN:
Category :
Languages : en
Pages : 230

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Book Description
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.

Randomization and Computation in Strategic Settings

Randomization and Computation in Strategic Settings PDF Author: Shaddin Faris Dughmi
Publisher: Stanford University
ISBN:
Category :
Languages : en
Pages : 230

Get Book Here

Book Description
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.

Handbook of randomized computing. 1

Handbook of randomized computing. 1 PDF Author: Sanguthevar Rajasekaran
Publisher: Springer Science & Business Media
ISBN: 9780792369578
Category : Computers
Languages : en
Pages : 520

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Book Description


Integrating Soft Computing into Strategic Prospective Methods

Integrating Soft Computing into Strategic Prospective Methods PDF Author: Raúl Trujillo-Cabezas
Publisher: Springer Nature
ISBN: 3030254321
Category : Technology & Engineering
Languages : en
Pages : 242

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Book Description
This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making approaches and shows how to combine them in more effective tools to model future events and take therefore better decisions. The first part of the book is dedicated to the theories behind fuzzy optimization and fuzzy cognitive map, while the second part presents new approaches developed by the authors with their practical application to trend impact analysis, scenario planning and strategic formulation. The book is aimed at two groups of readers, interested in linking the future studies with artificial intelligence. The first group includes social scientists seeking for improved methods for strategic prospective. The second group includes computer scientists and engineers seeking for new applications and current developments of Soft Computing methods for forecasting in social science, but not limited to this.

Theory of Cryptography

Theory of Cryptography PDF Author: Ran Canetti
Publisher: Springer
ISBN: 3540785248
Category : Computers
Languages : en
Pages : 656

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Book Description
This book constitutes the refereed proceedings of the Fifth Theory of Cryptography Conference, TCC 2008. It covers the paradigms, approaches and techniques used to conceptualize, define and provide solutions to natural cryptographic problems.

Advanced Techniques for Knowledge Engineering and Innovative Applications

Advanced Techniques for Knowledge Engineering and Innovative Applications PDF Author: Jeffrey Tweedale
Publisher: Springer
ISBN: 3642420176
Category : Computers
Languages : en
Pages : 311

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Book Description
This book constitutes the thoroughly refereed proceedings of the 16th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012. The 21 revised papers were carefully reviewed and selected from 254 submissions. Topics of interest include the exploitation of AI techniques, most recent research in information technologies and dynamic ontologies.

An Introduction to Online Computation

An Introduction to Online Computation PDF Author: Dennis Komm
Publisher: Springer
ISBN: 3319427490
Category : Computers
Languages : en
Pages : 360

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Book Description
This textbook explains online computation in different settings, with particular emphasis on randomization and advice complexity. These settings are analyzed for various online problems such as the paging problem, the k-server problem, job shop scheduling, the knapsack problem, the bit guessing problem, and problems on graphs. This book is appropriate for undergraduate and graduate students of computer science, assuming a basic knowledge in algorithmics and discrete mathematics. Also researchers will find this a valuable reference for the recent field of advice complexity.

Computing and Combinatorics

Computing and Combinatorics PDF Author: Dachuan Xu
Publisher: Springer
ISBN: 3319213989
Category : Computers
Languages : en
Pages : 778

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Book Description
This book constitutes the refereed proceedings of the 21st International Conference on Computing and Combinatorics, COCOON 2015, held in Beijing, China, in August 2015. The 49 revised full papers and 11 shorter papers presented were carefully reviewed and selected from various submissions. The papers cover various topics including algorithms and data structures; algorithmic game theory; approximation algorithms and online algorithms; automata, languages, logic and computability; complexity theory; computational learning theory; cryptography, reliability and security; database theory, computational biology and bioinformatics; computational algebra, geometry, number theory, graph drawing and information visualization; graph theory, communication networks, optimization and parallel and distributed computing.

Computer Science Logic

Computer Science Logic PDF Author: Zoltán Ésik
Publisher: Springer
ISBN: 3540454594
Category : Computers
Languages : en
Pages : 639

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Book Description
This book constitutes the refereed proceedings of the 20th International Workshop on Computer Science Logic, CSL 2006. The book presents 37 revised full papers together with 4 invited contributions, addressing all current aspects of logic in computer science. Coverage includes automated deduction and interactive theorem proving, constructive mathematics and type theory, equational logic and term rewriting, automata and formal logics, modal and temporal logic, model checking, finite model theory, and more.

Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine

Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine PDF Author: Michael R. Kosorok
Publisher: SIAM
ISBN: 1611974178
Category : Medical
Languages : en
Pages : 354

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Book Description
Personalized medicine is a medical paradigm that emphasizes systematic use of individual patient information to optimize that patient's health care, particularly in managing chronic conditions and treating cancer. In the statistical literature, sequential decision making is known as an adaptive treatment strategy (ATS) or a dynamic treatment regime (DTR). The field of DTRs emerges at the interface of statistics, machine learning, and biomedical science to provide a data-driven framework for precision medicine.? The authors provide a learning-by-seeing approach to the development of ATSs, aimed at a broad audience of health researchers. All estimation procedures used are described in sufficient heuristic and technical detail so that less quantitative readers can understand the broad principles underlying the approaches. At the same time, more quantitative readers can implement these practices. This book provides the most up-to-date summary of the current state of the statistical research in personalized medicine; contains chapters by leaders in the area from both the statistics and computer sciences fields; and also contains a range of practical advice, introductory and expository materials, and case studies.?

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques PDF Author: Irit Dinur
Publisher: Springer
ISBN: 3642036856
Category : Computers
Languages : en
Pages : 750

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Book Description
RANDOM is concerned with applications of randomness to computational and combinatorial problems, and was the 13th workshop in the series following Bologna (1997), Barcelona (1998),Berkeley(1999),Geneva(2000),Berkeley(2001),Harvard(2002),Prin- ton (2003), Cambridge (2004), Berkeley (2005), Barcelona (2006), Princeton (2007), and Boston (2008).