Models of Language Evolution
Michael Franke
University of Osnabrück
Winter term 2018

MoLE_2018
Course Description
The course provides an overview of a selection of mathematical and computational models of language evolution. It covers agent-based models, evolutionary game theory and iterated learning models. Our goal is to understand the merits and shortcomings of each kind of modeling approach as a tool to study language evolution.
Schedule
Session Date Topic Background reading
1 25.10.2018 Introduction and Overview Smith (2014)
- 01.11.2018 no class
2 08.11.2018 Agent-based models Loreto et al. (2010)
3 15.11.2018 Evolutionary game theory & signaling Franke & Wagner (2013)
4 22.11.2018 Evolutionary stability & meaning Chapter 3 of Skyrms (2010)
5 29.11.2018 Replicator dynamic
6 06.12.2018 Iterated learning Kirby, Griffith, Smith (2014)
7 13.12.2018 Recap, midterm prep [practice questions]
8 20.12.2018 Midterm exam --
Christmas break
9 10.01.2019 Iterated (Bayesian) learning & replicator mutator dynamic Griffith & Kalish (2007)
10 17.01.2018 Co-Evolution of semantic meaning & pragmatic use Brochhagen, Franke & van Rooij (2018)
11 24.01.2019 Language evolution in the lab Scott-Phillips & Kirby (2010)
12 31.01.2019 tba tba
13 07.02.2019 final discussion tba
Reading
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