Evaluating Voting Systems with Probability Models is popular PDF and ePub book, written by Mostapha Diss in 2020-12-18, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Evaluating Voting Systems with Probability Models can be Read Online from any device for your convenience.
Evaluating Voting Systems with Probability Models Book PDF Summary
This book includes up-to-date contributions in the broadly defined area of probabilistic analysis of voting rules and decision mechanisms. Featuring papers from all fields of social choice and game theory, it presents probability arguments to allow readers to gain a better understanding of the properties of decision rules and of the functioning of modern democracies. In particular, it focuses on the legacy of William Gehrlein and Dominique Lepelley, two prominent scholars who have made important contributions to this field over the last fifty years. It covers a range of topics, including (but not limited to) computational and technical aspects of probability approaches, evaluation of the likelihood of voting paradoxes, power indices, empirical evaluations of voting rules, models of voters’ behavior, and strategic voting. The book gathers articles written in honor of Gehrlein and Lepelley along with original works written by the two scholars themselves.
Detail Book of Evaluating Voting Systems with Probability Models PDF
- Author : Mostapha Diss
- Release : 18 December 2020
- Publisher : Springer Nature
- ISBN : 9783030485986
- Genre : Business & Economics
- Total Page : 412 pages
- Language : English
- PDF File Size : 13,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Evaluating Voting Systems with Probability Models by Mostapha Diss, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.