Modeling People S Strategic Voting Behavior Using Machine Learning
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Modeling People S Strategic Voting Behavior Using Machine Learning
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Author : Adam Lauz
language : en
Publisher:
Release Date : 2019
Modeling People S Strategic Voting Behavior Using Machine Learning written by Adam Lauz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
" Voting and preference aggregation systems have been used by people for centuries as tools for group decision-making in settings as diverse as politics and entertainment. Computers have assumed an increasingly significant role as platforms and mediators for preference aggregation, such as scheduling applications aggregating search results from the web and collaborative filtering, and more recently as autonomous voters in multi-agent systems. People's behavior is known to deviate from models that were traditionally used to analyze voting systems. The main goal of this thesis is to model and predict how people will vote in strategic situations which vary the number of voters, the number of candidates, and voters' preferences using machine learning approach. These models can be easily integrated into real systems to improve their voting components to become better and smarter. We use new insights we gather from machine learning methods such as feature importance analysis to modify the models and capture the voting behaviors more accurately. We engineer new features in our models that take into account cognitive biases that affect the behavior of bounded rational voters such as leader-bias. Our results show that the engineered features that describe the voters' properties and not only the voting condition, are significantly effective for building vote prediction models." -- abstract.
Modeling People S Voting Behavior Under Poll Information
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Author : Roy Fairstein
language : en
Publisher:
Release Date : 2019
Modeling People S Voting Behavior Under Poll Information written by Roy Fairstein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
"Despite the prevalence of voting systems in the real world there is no consensus among researchers of how people vote strategically, even in simple voting settings. This thesis addresses this gap by comparing different approaches that have been used to model strategic voting, including expected utility maximization, heuristic decision-making, and bounded rationality models. The models are applied to data collected from hundreds of people in controlled voting experiments, where people vote after observing non-binding poll information. We introduce a new voting model, the Attainability-Utility (AU) heuristic,which weighs the popularity of a candidate according to the poll, with the utility of the candidate to the voter. We argue that the AU model is cognitively plausible, and show that it is able to predict people's voting behavior significantly better than other models from the literature. It was almost at par with (and sometimes better than) a machine learning algorithm that uses substantially more information. Our results provide new insights into the strategic considerations of voters, that undermine the prevalentassumptions of much theoretical work in social choice." -- abstract.
Strategic Voting
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Author : Reshef Meir
language : en
Publisher: Morgan & Claypool
Release Date : 2018-06-11
Strategic Voting written by Reshef Meir and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-11 with Computers categories.
Social choice theory deals with aggregating the preferences of multiple individuals regarding several available alternatives, a situation colloquially known as voting. There are many different voting rules in use and even more in the literature, owing to the various considerations such an aggregation method should take into account. The analysis of voting scenarios becomes particularly challenging in the presence of strategic voters, that is, voters that misreport their true preferences in an attempt to obtain a more favorable outcome. In a world that is tightly connected by the Internet, where multiple groups with complex incentives make frequent joint decisions, the interest in strategic voting exceeds the scope of political science and is a focus of research in economics, game theory, sociology, mathematics, and computer science. The book has two parts. The first part asks "are there voting rules that are truthful?" in the sense that all voters have an incentive to report their true preferences. The seminal Gibbard-Satterthwaite theorem excludes the existence of such voting rules under certain requirements. From this starting point, we survey both extensions of the theorem and various conditions under which truthful voting is made possible (such as restricted preference domains). We also explore the connections with other problems of mechanism design such as locating a facility that serves multiple users. In the second part, we ask "what would be the outcome when voters do vote strategically?" rather than trying to prevent such behavior. We overview various game-theoretic models and equilibrium concepts from the literature, demonstrate how they apply to voting games, and discuss their implications on social welfare. We conclude with a brief survey of empirical and experimental findings that could play a key role in future development of game theoretic voting models.
Predicting Human Decision Making
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Author : Ariel Geib
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Predicting Human Decision Making written by Ariel Geib and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures—from purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). We explore the techniques, algorithms, and empirical methodologies for meeting the challenges that arise from the above tasks and illustrate major benefits from the use of these computational solutions in real-world application domains such as security, negotiations, argumentative interactions, voting systems, autonomous driving, and games. The book presents both the traditional and classical methods as well as the most recent and cutting edge advances, providing the reader with a panorama of the challenges and solutions in predicting human decision-making.
The Political Logic Of Poverty Relief
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Author : Alberto Diaz-Cayeros
language : en
Publisher: Cambridge University Press
Release Date : 2016-02-26
The Political Logic Of Poverty Relief written by Alberto Diaz-Cayeros and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-26 with Political Science categories.
The Political Logic of Poverty Relief places electoral politics and institutional design at the core of poverty alleviation. The authors develop a theory with applications to Mexico about how elections shape social programs aimed at aiding the poor. They also assess whether voters reward politicians for targeted poverty alleviation programs.
A Behavioral Theory Of Elections
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Author : Jonathan Bendor
language : en
Publisher: Princeton University Press
Release Date : 2011-02-06
A Behavioral Theory Of Elections written by Jonathan Bendor and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-06 with Business & Economics categories.
Most theories of elections assume that voters and political actors are fully rational. This title provides a behavioral theory of elections based on the notion that all actors - politicians as well as voters - are only boundedly rational.
Empirical Asset Pricing
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Author : Wayne Ferson
language : en
Publisher: MIT Press
Release Date : 2019-03-12
Empirical Asset Pricing written by Wayne Ferson and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-12 with Business & Economics categories.
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Proceedings Of The 6th International Conference On Intelligent Computing Icic 6 2023
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Author : Ambeth Kumar Visvam Devadoss
language : en
Publisher: Springer Nature
Release Date : 2023-10-16
Proceedings Of The 6th International Conference On Intelligent Computing Icic 6 2023 written by Ambeth Kumar Visvam Devadoss and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-16 with Computers categories.
This is an open access book. PECTEAM, being held for a period of two days, aims to witness the development of technologies in all technical and management domains. The major event in the conference is paper presentations on the latest advances in Engineering and Management disciplines from National and International academic sectors. Special emphasis is given to update newer technologies by Keynote speakers. PECTEAM is a premier platform for researchers and industry practitioners to share their new and innovative ideas, original research findings and practical development experiences in Engineering and Management through high quality peer reviewed papers.
Machine Learning Methods For Human Brain Imaging
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Author : Fatos Tunay Yarman Vural
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-29
Machine Learning Methods For Human Brain Imaging written by Fatos Tunay Yarman Vural and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-29 with Science categories.
Supercomputing
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Author : Vladimir Voevodin
language : en
Publisher: Springer
Release Date : 2017-11-14
Supercomputing written by Vladimir Voevodin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-14 with Computers categories.
This book constitutes the refereed proceedings of the Third Russian Supercomputing Days, RuSCDays 2017, held in Moscow, Russia, in September 2017. The 41 revised full papers and one revised short paper presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on parallel algorithms; supercomputer simulation; high performance architectures, tools and technologies.