Game Theory For Data Science

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Game Theory for Data Science

Author : Boi Mirsky,Goran Keren
Publisher : Springer Nature
Page : 135 pages
File Size : 40,8 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015779

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Game Theory for Data Science by Boi Mirsky,Goran Keren Pdf

Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards. We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading.

Game Theory for Political Scientists

Author : James D. Morrow
Publisher : Princeton University Press
Page : 400 pages
File Size : 41,6 Mb
Release : 2020-05-05
Category : Political Science
ISBN : 9780691213200

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Game Theory for Political Scientists by James D. Morrow Pdf

Game theory is the mathematical analysis of strategic interaction. In the fifty years since the appearance of von Neumann and Morgenstern's classic Theory of Games and Economic Behavior (Princeton, 1944), game theory has been widely applied to problems in economics. Until recently, however, its usefulness in political science has been underappreciated, in part because of the technical difficulty of the methods developed by economists. James Morrow's book is the first to provide a standard text adapting contemporary game theory to political analysis. It uses a minimum of mathematics to teach the essentials of game theory and contains problems and their solutions suitable for advanced undergraduate and graduate students in all branches of political science. Morrow begins with classical utility and game theory and ends with current research on repeated games and games of incomplete information. The book focuses on noncooperative game theory and its application to international relations, political economy, and American and comparative politics. Special attention is given to models of four topics: bargaining, legislative voting rules, voting in mass elections, and deterrence. An appendix reviews relevant mathematical techniques. Brief bibliographic essays at the end of each chapter suggest further readings, graded according to difficulty. This rigorous but accessible introduction to game theory will be of use not only to political scientists but also to psychologists, sociologists, and others in the social sciences.

Essentials of Game Theory

Author : Kevin Gebser,Yoav Kaminski
Publisher : Springer Nature
Page : 88 pages
File Size : 52,7 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015458

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Essentials of Game Theory by Kevin Gebser,Yoav Kaminski Pdf

Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them.

Advances in Data Science and Computing Technologies

Author : Basabi Chakraborty,Arindam Biswas,Amlan Chakrabarti
Publisher : Springer Nature
Page : 738 pages
File Size : 45,9 Mb
Release : 2023-09-29
Category : Technology & Engineering
ISBN : 9789819936564

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Advances in Data Science and Computing Technologies by Basabi Chakraborty,Arindam Biswas,Amlan Chakrabarti Pdf

This book presents selected research papers on current developments in artificial intelligence (AI) and data sciences from the International Conference on Advances in Data Science and Computing Technologies, ADSC 2022. The book covers topics such as soft computing techniques, AI, optical communication systems, application of Internet of Things, hybrid and renewable energy sources, cloud and mobile computing, deep machine learning, data networks & securities. The book discusses various aspects of these topics, e.g., technological considerations, product implementation, and application issues. The volume will serve as a reference resource for researchers and practitioners in academia and industry.

Data Science and Analytics for Ordinary People

Author : Jeffrey Strickland
Publisher : Lulu.com
Page : 238 pages
File Size : 53,8 Mb
Release : 2015-06-28
Category : Business & Economics
ISBN : 9781329280625

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Data Science and Analytics for Ordinary People by Jeffrey Strickland Pdf

Data Science and Analytics for Ordinary People is a collection of blogs I have written on LinkedIn over the past year. As I continue to perform big data analytics, I continue to discover, not only my weaknesses in communicating the information, but new insights into using the information obtained from analytics and communicating it. These are the kinds of things I blog about and are contained herein. Data science and analytics have been used as synonyms on occasion. In reality data science includes data modeling, data mining, data analysis, database architecture and so on. Analytics is what we do to make sense of the data. That is, we take data and turn it into information for business decision makers. This our course implies that we translate our data science jargon into English.

Data Analytics

Author : Mohiuddin Ahmed,Al-Sakib Khan Pathan
Publisher : CRC Press
Page : 439 pages
File Size : 43,9 Mb
Release : 2018-09-21
Category : Computers
ISBN : 9780429820908

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Data Analytics by Mohiuddin Ahmed,Al-Sakib Khan Pathan Pdf

Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Game Theory for Next Generation Wireless and Communication Networks

Author : Zhu Han,Dusit Niyato,Walid Saad,Tamer Başar
Publisher : Cambridge University Press
Page : 509 pages
File Size : 47,7 Mb
Release : 2019-06-27
Category : Computers
ISBN : 9781108417334

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Game Theory for Next Generation Wireless and Communication Networks by Zhu Han,Dusit Niyato,Walid Saad,Tamer Başar Pdf

A unified treatment of the latest game theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks. Covering theory, analytical tools, and applications, it is ideal for researchers and graduate students in academia and industry designing efficient, scalable and robust protocols for future wireless networks.

Data Analytics

Author : Mohiuddin Ahmed,Al-Sakib Khan Pathan
Publisher : CRC Press
Page : 426 pages
File Size : 53,5 Mb
Release : 2020-06-30
Category : Big data
ISBN : 036757098X

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Data Analytics by Mohiuddin Ahmed,Al-Sakib Khan Pathan Pdf

Data Analytics, Data Analytics: Concepts, Techniques, and Applications compiles the latest trends and issues of the emerging technologies, concepts, and applications that are based on data analytics. The book is for students, researchers, and professionals working in the area of data analytics and is not focused on any specific application. Data Analytics: Concepts, Techniques, and Applications includes chapters covering the fundamental concepts, relevant techniques, and interesting applications of data analysis. The chapters are categorized into three groups with a total of 16 chapters, with contributions from authors around the globe. Section I contains six chapters that cover the fundamental concepts of data analytics. These chapters reflect the important knowledge areas, such as machine learning, regression, clustering, information retrieval, and graph analysis. Section II has six chapters that cover the major techniques of data analytics, such as transition from regular database to big data, big graph analysis tools and techniques, and game theoretical approaches for big data analysis. The rest of the chapters in this section cover topics that lead to newer research domains, including project management, Industry 4.0, and dark data. Section III covers the applications of data analytics in different domains, such as education, traffic offenses, sports data visualization, and, last but not the least, two interesting chapters on cybersecurity for big data analytics with specific focus on the health care sector. Data Analytics: Concepts, Techniques, and Applications is for graduate students, researchers, academics, and industry practitioners working in the areas of data science, machine learning, and other related issues. Book jacket.

Reciprocity, Evolution, and Decision Games in Network and Data Science

Author : Yan Chen,Chih-Yu Wang,Chunxiao Jiang,K. J. Ray Liu
Publisher : Cambridge University Press
Page : 475 pages
File Size : 46,9 Mb
Release : 2021-07-22
Category : Computers
ISBN : 9781108494748

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Reciprocity, Evolution, and Decision Games in Network and Data Science by Yan Chen,Chih-Yu Wang,Chunxiao Jiang,K. J. Ray Liu Pdf

A unique treatment of evolutionary games, indirect reciprocity, sequential decision making, and application to wireless and social networks.

Big Data Analytics

Author : Anirban Mondal,Himanshu Gupta,Jaideep Srivastava,P. Krishna Reddy,D.V.L.N. Somayajulu
Publisher : Springer
Page : 429 pages
File Size : 46,7 Mb
Release : 2018-12-11
Category : Computers
ISBN : 9783030047801

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Big Data Analytics by Anirban Mondal,Himanshu Gupta,Jaideep Srivastava,P. Krishna Reddy,D.V.L.N. Somayajulu Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.

Twenty Lectures on Algorithmic Game Theory

Author : Tim Roughgarden
Publisher : Cambridge University Press
Page : 357 pages
File Size : 54,5 Mb
Release : 2016-09-01
Category : Computers
ISBN : 9781316782095

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Twenty Lectures on Algorithmic Game Theory by Tim Roughgarden Pdf

Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.

Data Science

Author : Jianchao Zeng,Pinle Qin,Weipeng Jing,Xianhua Song,Zeguang Lu
Publisher : Springer Nature
Page : 532 pages
File Size : 46,5 Mb
Release : 2021-09-10
Category : Computers
ISBN : 9789811659430

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Data Science by Jianchao Zeng,Pinle Qin,Weipeng Jing,Xianhua Song,Zeguang Lu Pdf

This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021. The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.

An Introductory Course on Mathematical Game Theory and Applications

Author : Julio González-Díaz,Ignacio García-Jurado,M. Gloria Fiestras-Janeiro
Publisher : American Mathematical Society
Page : 432 pages
File Size : 54,8 Mb
Release : 2023-12-01
Category : Mathematics
ISBN : 9781470467968

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An Introductory Course on Mathematical Game Theory and Applications by Julio González-Díaz,Ignacio García-Jurado,M. Gloria Fiestras-Janeiro Pdf

Game theory provides a mathematical setting for analyzing competition and cooperation in interactive situations. The theory has been famously applied in economics, but is relevant in many other sciences, such as psychology, computer science, artificial intelligence, biology, and political science. This book presents an introductory and up-to-date course on game theory addressed to mathematicians and economists, and to other scientists having a basic mathematical background. The book is self-contained, providing a formal description of the classic game-theoretic concepts together with rigorous proofs of the main results in the field. The theory is illustrated through abundant examples, applications, and exercises. The style is distinctively concise, while offering motivations and interpretations of the theory to make the book accessible to a wide readership. The basic concepts and results of game theory are given a formal treatment, and the mathematical tools necessary to develop them are carefully presented. In this second edition, the content on cooperative games is considerably strengthened, with a new chapter on applications of cooperative games and operations research, including some material on computational aspects and applications outside academia.

AI and Data Analytics Applications in Organizational Management

Author : Merlo, Tereza Raquel
Publisher : IGI Global
Page : 347 pages
File Size : 42,7 Mb
Release : 2024-02-07
Category : Business & Economics
ISBN : 9798369310595

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AI and Data Analytics Applications in Organizational Management by Merlo, Tereza Raquel Pdf

Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking. AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change.

Essentials of Game Theory

Author : Kevin Leyton-Brown,Yoav Shoham
Publisher : Morgan & Claypool Publishers
Page : 106 pages
File Size : 54,9 Mb
Release : 2008-07-08
Category : Computers
ISBN : 9781598295948

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Essentials of Game Theory by Kevin Leyton-Brown,Yoav Shoham Pdf

Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them.