IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-31803-5_11.html
   My bibliography  Save this book chapter

Dependence and Independence in Social Choice: Arrow’s Theorem

In: Dependence Logic

Author

Listed:
  • Eric Pacuit

    (University of Maryland, Department of Philosophy)

  • Fan Yang

    (Utrecht University, Department of Philosophy and Religious Studies)

Abstract

One of the goals of social choice theory is to study the group decision methods that satisfy two types of desiderata. The first type ensures that the group decision depends in the right way on the voters’ opinions. The second type ensures that the voters are free to express any opinion, as long as it is an admissible input to the group decision method. Impossibility theorems, such as Arrow’s Theorem, point to an interesting tension between these two desiderata. In this paper, we argue that dependence and independence logic offer an interesting new perspective on this aspect of social choice theory. To that end, we develop a version of independence logic that can express Arrow’s properties of preference aggregation functions. We then prove that Arrow’s Theorem is derivable in a natural deduction system for the first-order consequences of our logic.

Suggested Citation

  • Eric Pacuit & Fan Yang, 2016. "Dependence and Independence in Social Choice: Arrow’s Theorem," Springer Books, in: Samson Abramsky & Juha Kontinen & Jouko Väänänen & Heribert Vollmer (ed.), Dependence Logic, pages 235-260, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-31803-5_11
    DOI: 10.1007/978-3-319-31803-5_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-31803-5_11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.