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AAAI21_Emergent_language
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AAAI2021/paper.tex
...@@ -179,20 +179,20 @@ The emergence of symbolic languages with high compositionality has ...@@ -179,20 +179,20 @@ The emergence of symbolic languages with high compositionality has
attracted extensive attention from a broad range of communities. Existing attracted extensive attention from a broad range of communities. Existing
studies achieve high compositionality through \emph{deliberately handcrafted} studies achieve high compositionality through \emph{deliberately handcrafted}
inductions (e.g., additional rewards, constructed inductions (e.g., additional rewards, constructed
loss functions and ease-of-teaching) in multi-agent learning, which are unnatural. loss functions and structural input data) in multi-agent learning, which are unnatural.
Yet, few studies investigate the emergence of symbolic language with high Yet, few studies investigate the emergence of symbolic language with high
compositionality \emph{naturally}, i.e., without deliberately handcrafted compositionality \emph{naturally}, i.e., without deliberately handcrafted
inductions. inductions.
In this paper, \note{we are the first to successfully achieve high compositional In this paper, \note{we are the first to successfully achieve high compositional
symbolic language} in a \emph{natural} manner without handcrafted inductions. symbolic language} in a \emph{natural} manner without handcrafted inductions.
Initially, by investigating the emerged symbolic Initially, by investigating the emergent
language after removing the \emph{deliberately handcrafted} language after removing the \emph{deliberately handcrafted}
inductions, we observe the difficulty in naturally generating high compositional inductions, we observe the difficulty in naturally generating high compositional
symbolic language. language.
%the agent capacity plays a key role in compositionality. %the agent capacity plays a key role in compositionality.
Further, we reveal and characterize the \note{quantitative relationship} Further, we reveal and characterize the \note{quantitative relationship}
between the agent capacity and the compositionality of symbolic language, with between the agent capacity and the compositionality of emergent language, with
a novel mutual information-based metric for more reasonable measuring the compositionality. a novel mutual information-based metric for more reasonable measuring the compositionality.
% both theoretically and experimentally. % both theoretically and experimentally.
%The theoretical analysis is built on the MSC %The theoretical analysis is built on the MSC
...@@ -203,9 +203,9 @@ a novel mutual information-based metric for more reasonable measuring the compos ...@@ -203,9 +203,9 @@ a novel mutual information-based metric for more reasonable measuring the compos
%with eliminated external environment factors. %with eliminated external environment factors.
%With a novel mutual information-based metric for the compositionality, %With a novel mutual information-based metric for the compositionality,
The experimental results lead to a counter-intuitive conclusion that lower agent The experimental results lead to a counter-intuitive conclusion that lower agent
capacity facilitates the emergence of symbolic language with higher capacity facilitates the emergence of language with higher
compositionality. \note{Based on our conclusion, we can generate higher compositionality. \note{Based on our conclusion, we can get a more
compositional symbolic language with a higher probability.} compositional language with a higher probability.}
% The natural emergence of symbolic languages with high compositionality has % The natural emergence of symbolic languages with high compositionality has
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