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Individual variation, network heterogeneity and linguistic complexity:
which way does the relationship go?

Sébastien Lerique, Dan Dediu, Márton Karsai,
& Jean-Philippe Magué

The problem

Language must adapt to many

  • ≠ landscapes
  • ≠ situations
  • ≠ sub-communities
  • ≠ material conditions
  • ≠ idiosyncracies

... in a complex network

Possible mechanisms

Lowest common denominator

Possible mechanisms

Super redundant-robust-complex

  • Repairing breakdowns
  • Articulating something
  • Meaning something
  • Negotiating turns & interaction

can each be done in many ways

+

Redundancy turns into complexity when not needed

Hypothesis

Are core factors generating redundancy,
robustness & complexity

Examples

Vocal tract anatomy and articulation Moisik & Dediu 2017

Chronic otitis media in Australian Aboriginal populations Butcher 2013

More diversity than expected Evans & Levinson 2009

Japanese business-card exchange rules Cuffari et al. 2015

Inspirations

Evolutionary biology

Adaptation to different environments is dealt with dynamic,
recursive and complex processes

Inspirations

Population structure & variation

Minor changes in a population can have macroscopic effects Granovetter 1978 Bikhchandani et al. 1992

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Inspirations

Network spreading processes

Watts 2002

Projects

Simulations

?

When competing, how many nodes/edges
are necessary for global adoption?

What are the effects of

  • node diversity
  • network topology
  • placement of seed nodes or constrained edges

Projects

Experiments

  • One-way communication
    ~ Iterated Learning
  • Interactive communication
    ~ Experimental Semiotics
  • Minimal interactive coupling
    ~ Perceptual crossing

playing with

  • Network topology
  • Edge constraints
  • Individual sensitivites

De Jaegher et al. 2010 [CC-BY]

Icons by Font Awesome [CC-BY]

Possibly Twitter
25% GMT+0/1
tweets in French

Thank you!