Cultural evolution via iterated learning and communication explains efficient color naming systems
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915061556051968 |
|---|---|
| author | Carlsson, Emil Dubhashi, Devdatt Regier, Terry |
| author_facet | Carlsson, Emil Dubhashi, Devdatt Regier, Terry |
| contents | It has been argued that semantic systems reflect pressure for efficiency, and a current debate concerns the cultural evolutionary process that produces this pattern. We consider efficiency as instantiated in the Information Bottleneck (IB) principle, and a model of cultural evolution that combines iterated learning and communication. We show that this model, instantiated in neural networks, converges to color naming systems that are efficient in the IB sense and similar to human color naming systems. We also show that some other proposals such as iterated learning alone, communication alone, or the greater learnability of convex categories, do not yield the same outcome as clearly. We conclude that the combination of iterated learning and communication provides a plausible means by which human semantic systems become efficient. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_10154 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Cultural evolution via iterated learning and communication explains efficient color naming systems Carlsson, Emil Dubhashi, Devdatt Regier, Terry Computation and Language It has been argued that semantic systems reflect pressure for efficiency, and a current debate concerns the cultural evolutionary process that produces this pattern. We consider efficiency as instantiated in the Information Bottleneck (IB) principle, and a model of cultural evolution that combines iterated learning and communication. We show that this model, instantiated in neural networks, converges to color naming systems that are efficient in the IB sense and similar to human color naming systems. We also show that some other proposals such as iterated learning alone, communication alone, or the greater learnability of convex categories, do not yield the same outcome as clearly. We conclude that the combination of iterated learning and communication provides a plausible means by which human semantic systems become efficient. |
| title | Cultural evolution via iterated learning and communication explains efficient color naming systems |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2305.10154 |