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Abstract

Computational modelling has proven a useful method to study the emergence of language-like communication systems. However, most existing models abstract away from the two facts that (1) lan- guage use exhibits pragmatic plasticity1 and (2) linguistic knowledge is an integral part of human conceptual knowledge. This paper introduces a basic architecture for a model that overcomes these shortcomings by incorporating elements of Relevance Theory and Cognitive Semantics.

Keywords: simulating language evolution, cognitive linguistics

@incollection{hoefler09relevancedriven,
  author={Stefan Hoefler},
  title={Modelling relevance-driven language evolution},
  year={2009},
  pages={49-56},
  editor={S. Clematide and M. Klenner and M. Volk},
  publisher={MV-Wissenschaft},
  booktitle={Searching Answers: Festschrift in Honour of Michael Hess on the Occasion of His 60th Birthday},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/hoefler09relevancedriven.html},
  keywords={simulating language evolution, cognitive linguistics}
}