Information theoretic models in language evolution

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Abstract

We study a model for language evolution which was introduced by Nowak and Krakauer ([12]). We analyze discrete distance spaces and prove a conjecture of Nowak for all metrics with a positive semidefinite associated matrix. This natural class of metrics includes all metrics studied by different authors in this connection. In particular it includes all ultra-metric spaces. Furthermore, the role of feedback is explored and multi-user scenarios are studied. In all models we give lower and upper bounds for the fitness. © Springer-Verlag Berlin Heidelberg 2006.

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Ahlswede, R., Arikan, E., Bäumer, L., & Deppe, C. (2006). Information theoretic models in language evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4123 LNCS, pp. 769–787). https://doi.org/10.1007/11889342_49

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