The emergence of human language has always been an important and controversial
issue. This problem attracts attentions from a broad range of communities,
including philology~\cite{}, biology~\cite{}, and computer
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@@ -27,11 +26,6 @@ compostionality). In this example, each shape is represented by a unique value
of symbol $s_0$ and each color is represented by symbol $s_1$. Figure1(b) shows a
language with low compostionality. Colors and shapes are ambiguous if only we
extract information from a single symbol.
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The emergence of human language has always been an important and controversial issue. This problem attracts attentions from a broad range of communities, including philology, biology and computer science. In computer science, researchers induce and analyze the emergent language in multi-agent systems by setting up communication scenarios, such as referential games and communication-action policies.
Compositionality is a widely used metric to evaluate the emergent language. It is a concept in the philosophy of language [1], which describes and quantifies how complex expressions can be assembled out of simpler parts [2]. For example, Figure1(a) shows a perfect compositional language (with maximum compostionality). In this example, each shape is represented by a unique value of symbol s_0 and each color is represented by symbol s_1. Figure1(b) shows a language with low compostionality. Colors and shapes are ambiguous if only we extract information from a single symbol.
>>>>>>> 4ed7826846e80d0c69ee5244e0e20fc563300e19
\begin{figure}[t]
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@@ -63,4 +57,4 @@ We propose a ‘bilateral’ metric \emph{MIS}, which takes both listener and sp
We analyse the relationship between compostionality and agent capacity theoretically.
We verify the negative correlation between agent capacity and compostionality both in language teaching and language inducing.
