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Published on: November 14, 2011
Understanding linguistic evolution by visualizing the emergence of topographic mappings
1Language Evolution and Computation Research Unit, School of Philosophy, Psychology, and Language Sciences, The University of Edinburgh, Edinburgh, UK. hbrighton@mpib-berlin.mpg.de
This study visualizes linguistic evolution using an iterated learning model, revealing that replicators are patterns in meaning-signal mappings. This offers new insights into language change and its comparison to biological evolution.
Area of Science:
- Linguistics
- Computational modeling
- Evolutionary biology
Background:
- Computational models of linguistic evolution often focus on stable states.
- Understanding the dynamic process of linguistic evolution is crucial.
Purpose of the Study:
- To visualize cultural selection for learnability in linguistic evolution.
- To explore the nature of replicators in language change.
- To compare linguistic and biological evolution processes.
Main Methods:
- Utilized a simple iterated learning model.
- Employed visualization techniques to analyze evolutionary processes.
- Examined the mapping between meaning and signals.
Main Results:
- Demonstrated visualization of cultural selection for learnability.
- Identified replicators as local regularities in meaning-signal mappings.
- Drew parallels between model phenomena and observed linguistic patterns.
Conclusions:
- Linguistic evolution can be understood as a system driven by replicators.
- Identified key differences in replication and selection between linguistic and biological evolution.
Related Concept Videos
Topographic Surveying and Contours
Plotting of Topographic Maps
Methods of Obtaining Topography
Levels of Use of a GIS
Level Curves and Contour Maps
Interpretations of Partial Derivatives

