Inductive Reasoning in Social Choice Theory
Autor: | Fernando Tohmé, Marcelo Auday, Federico Fioravanti |
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Rok vydání: | 2019 |
Předmět: |
Linguistics and Language
Theoretical computer science Semantics (computer science) Process (engineering) Computer science media_common.quotation_subject Inference Inductive reasoning Extensional definition Philosophy Line (geometry) Computer Science (miscellaneous) Function (engineering) Social choice theory media_common |
Zdroj: | Journal of Logic, Language and Information. 28:551-575 |
ISSN: | 1572-9583 0925-8531 |
DOI: | 10.1007/s10849-019-09281-8 |
Popis: | The usual procedure in the theory of social choice consists in postulating some desirable properties which an aggregation procedure should verify and derive from them the features of a corresponding social choice function and the outcomes that arise at each possible profile of preferences. In this paper we invert this line of reasoning and try to infer, up from what we call social situations (each one consisting of a profile and the associated social ordering) the criteria verified in the implicit aggregation procedure. This inference process, which extracts intensional from extensional information can be seen as an exercise in “qualitative statistics”. |
Databáze: | OpenAIRE |
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