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Meaningful Talk

Authors: Jorge M. Streb; Gustavo Torrens;

Meaningful Talk

Abstract

This paper develops a semiotic-inferential model of verbal communication for incomplete information games: a language is seen as a set of conventional signs that point to types, and the credibility of a message depends on the strategic context. Formally, there is an encoding-decoding step where the receiver can understand the sender's message if and only if a common language is used, and an inferential step where the receiver may either trust the message's literal meaning or disregard it when updating priors. The epistemic requirement that information be transmitted through the literal meaning of the message uttered leads to an equilibrium concept distinct from a Perfect Bayesian Equilibrium, ruling out informative equilibria where language is not used in its ordinary sense. The paper also proposes a refinement by which the sender selects among equilibria if all sender types are willing to play the same equilibrium.

Keywords

Credibility, Languages, Verbal communication, Cheap talk, Language, Literal and equilibrium meaning, Signs, Comprehensibility, Relevance, Trust, Credibility, Equilibrium selection, Relevance, Trust, Nash equilibria, Equilibrium selection, C72, Literal and equilibrium meaning, symbols, C7, Language, ddc:330, Languages, Verbal communication, Literal and equilibrium meaning, Credibility, Cheap talk, Signs, Trust, Relevance, Comprehensibility, Language, Equilibrium selection, meaning, Cheap talk, D83, encoding-decoding, conventional signs, verbal symbols, common understandings, relevance, veracity, trust, common priors, D8, cheap talk, Signs, Comprehensibility, jel: jel:D83, jel: jel:C72

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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