Theories of Social Welfare Functions: A Semantical Approach.

The paper develops a semantical approach to the theories of social welfare functions (SWFs). On this approach, to present a theory is to give a (structured) family of models, that is, of possible applications of the theory. The structuralist approach in the philosophy of science is applied to the ex...

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Publicado en:Theoria: A Swedish Journal of Philosophy Vol. 91; no. 4; pp. 1 - 10
Autor principal: Miroiu, Adrian
Formato: Artículo
Publicado: Wiley-Blackwell Aug2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Theories of Social Welfare Functions: A Semantical Approach.
      aug:
        au: Miroiu, Adrian
        affil: Romanian Academy, Bucharest Bucuresti, , Romania
      su:
        Public welfare
        Semantics
        Philosophy of science
        Anonymity
        Social choice
      sug:
        subj:
          Public welfare
          Semantics
          Philosophy of science
          Anonymity
          Social choice
      keyword:
        completeness theorems
        majority rule
        semantical view
        social welfare functions
        theoreticity
        theory
      ab: The paper develops a semantical approach to the theories of social welfare functions (SWFs). On this approach, to present a theory is to give a (structured) family of models, that is, of possible applications of the theory. The structuralist approach in the philosophy of science is applied to the example of the theory of the simple majority rule. This theory is reconstructed in two versions, as a structured set of appropriately defined models. The adequacy of the two reconstructions is proved. An important implication of the reconstructions is that the collective preference is characterised, in structuralist terms, as a theoretical concept of the theory.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Copyright of Theoria: A Swedish Journal of Philosophy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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