Example: structured meaning-spaces
	l How does the structure of meaning-space affect the structure of the languages that emerge in an ILM? l Henry’s approach: ¡ Construct languages that reflect structure of meaning- spaces ¡ Compare the expressivity of these languages after learning ¡ Equate expressivity and stability through iterated learning ¡ Languages that reflect highly structured meaning-spaces most stable l General idea: highly-structured meaning spaces are part of our biological endowment.