The Dynamics of Iterated
Learning
What is Iterated
Learning?
Iterated learning as
evolutionary system
Iterated learning models
Main ILM results so far
What can we conclude from
ILM results?
Example: structured
meaning-spaces
Two problems…
A really simple model
Meanings
Objects as sets of
feature-vectors
Big Assumption
Differences…
Simulation
Experiments
Holistic vs.
Compositional
Holistic with differing
bottlenecks
Differing meaning-spaces
Relative stability for
differing meaning spaces (compared with holistic)
Iterated learning with
mixed system
Complete dynamics for
mixed system
Invention
Effect of low bottleneck
Low bottleneck with
invention
Multiple systems
Multiple systems
Multiple systems
Multiple systems
Multiple systems
Multiple systems
Multiple systems
Multiple systems
Multiple systems
Inexpressive
meaning-spaces
Problem – no pressure for
expressivity
Solution – discrimination
and contexts
Selection for contextual
discrimination
Summary
What’s next?
Final questions