EAN: 9783031090158

SPRINGERBRIEFS IN INTELLIGENT SYSTEMS MULTI-W...

From fundamental concepts and results to recent advances in computational social choice  this
open access book provides a thorough and in-depth look at multi-winner voting based on approval
preferences. The main focus is on axiomatic analysis  algorithmic results and several
applications that are relevant in artificial intelligence  computer science and elections of
any kind. What is the best way to select a set of candidates for a shortlist  for an executive
committee  or for product recommendations? Multi-winner voting is the process of selecting a
fixed-size set of candidates based on the preferences expressed by the voters. A wide variety
of decision processes in settings ranging from politics (parliamentary elections) to the design
of modern computer applications (collaborative filtering  dynamic Q&A platforms  diversity in
search results  etc.) share the problem of identifying a representative subset of alternatives.
The study of multi-winner voting provides the principled analysis of this task. Approval-based
committee voting rules (in short: ABC rules) are multi-winner voting rules particularly
suitable for practical use. Their usability is founded on the straightforward form in which the
voters can express preferences: voters simply have to differentiate between approved and
disapproved candidates. Proposals for ABC rules are numerous  some dating back to the late 19th
century while others have been introduced only very recently. This book explains and discusses
these rules  highlighting their individual strengths and weaknesses. With the help of this book
the reader will be able to choose a suitable ABC voting rule in a principled fashion 
participate in  and be up to date with the ongoing research on this topic.

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