Handbook of Computational Social Choice

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Release : 2016-04-25
Genre : Computers
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Book Rating : 752/5 ( reviews)

Handbook of Computational Social Choice - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Computational Social Choice write by Felix Brandt. This book was released on 2016-04-25. Handbook of Computational Social Choice available in PDF, EPUB and Kindle. The rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field comprehensively. Chapters devoted to each of the field's major themes offer detailed introductions. Topics include voting theory (such as the computational complexity of winner determination and manipulation in elections), fair allocation (such as algorithms for dividing divisible and indivisible goods), coalition formation (such as matching and hedonic games), and many more. Graduate students, researchers, and professionals in computer science, economics, mathematics, political science, and philosophy will benefit from this accessible and self-contained book.

Trends in Computational Social Choice

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Release : 2017
Genre : Computers
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Book Rating : 097/5 ( reviews)

Trends in Computational Social Choice - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Trends in Computational Social Choice write by Ulle Endriss. This book was released on 2017. Trends in Computational Social Choice available in PDF, EPUB and Kindle. Computational social choice is concerned with the design and analysis of methods for collective decision making. It is a research area that is located at the interface of computer science and economics. The central question studied in computational social choice is that of how best to aggregate the individual points of view of several agents, so as to arrive at a reasonable compromise. Examples include tallying the votes cast in an election, aggregating the professional opinions of several experts, and finding a fair manner of dividing a set of resources amongst the members of a group -- Back cover.

Handbook of Computational Social Science, Volume 2

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Release : 2021-11-10
Genre : Computers
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Book Rating : 622/5 ( reviews)

Handbook of Computational Social Science, Volume 2 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Computational Social Science, Volume 2 write by Uwe Engel. This book was released on 2021-11-10. Handbook of Computational Social Science, Volume 2 available in PDF, EPUB and Kindle. The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Handbook of Social Choice and Voting

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Release : 2015-12-18
Genre : Business & Economics
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Book Rating : 739/5 ( reviews)

Handbook of Social Choice and Voting - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Social Choice and Voting write by Jac C. Heckelman. This book was released on 2015-12-18. Handbook of Social Choice and Voting available in PDF, EPUB and Kindle. This Handbook provides an overview of interdisciplinary research related to social choice and voting that is intended for a broad audience. Expert contributors from various fields present critical summaries of the existing literature, including intuitive explanations of technical terminology and well-known theorems, suggesting new directions for research.

Introduction to Computational Social Science

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Release : 2017-06-29
Genre : Computers
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Book Rating : 313/5 ( reviews)

Introduction to Computational Social Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Computational Social Science write by Claudio Cioffi-Revilla. This book was released on 2017-06-29. Introduction to Computational Social Science available in PDF, EPUB and Kindle. This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.