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Contextual predictability shapes signal autonomy.

James Winters1, Simon Kirby2, Kenny Smith2

  • 1The Minds and Traditions Research Group, Max Plank Institute for the Science of Human History, Jena, Germany.

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|March 14, 2018
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Summary
This summary is machine-generated.

Communication balances simplicity and informativeness. Contextual predictability influences this balance, leading to context-dependent or autonomous signals based on environmental information. This shapes language structure.

Keywords:
Communication gamesContextInteractionLanguage evolutionPragmatics

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Area of Science:

  • Cognitive Science
  • Linguistics
  • Evolutionary Biology

Background:

  • Shared communication systems balance signal simplicity and informativeness.
  • Contextual predictability, the sender's ability to estimate contextual information, is key to this balance.
  • This study investigates the link between contextual predictability and signal autonomy.

Purpose of the Study:

  • To determine if contextual predictability causally influences signal autonomy.
  • To explore how communication systems adapt to varying levels of contextual predictability.
  • To understand the role of pragmatic inference in shaping language structure.

Main Methods:

  • An asymmetric communication game with fixed sender and receiver roles was employed.
  • Two aspects of referential context were manipulated: shared access to context and generalizability of context.
  • The degree of signal autonomy was measured in relation to contextual predictability.

Main Results:

  • High contextual predictability leads to context-dependent signals that rely on shared information.
  • Low contextual predictability favors autonomous signals with explicit encoding of meaning.
  • Contextual predictability directly shapes the development of signal autonomy.

Conclusions:

  • Pragmatic inference and context integration are central to language structure.
  • The predictability of the communication environment influences the evolution of linguistic strategies.
  • Language adapts to optimize information transfer under varying contextual constraints.