Merge branch 'master' of http://62.234.201.16/hao/AAAI21_Emergent_language

AAAI2021/paper.tex

@@ -179,20 +179,20 @@ The emergence of symbolic languages with high compositionality has
 attracted extensive attention from a broad range of communities. Existing
 studies achieve high compositionality through \emph{deliberately handcrafted}
 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
 compositionality \emph{naturally}, i.e., without deliberately handcrafted
 inductions.
 
 In this paper, \note{we are the first to successfully achieve high compositional
 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}
 inductions, we observe the difficulty in naturally generating high compositional
-symbolic language.
+language.
 %the agent capacity plays a key role in compositionality.
 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.
 % both theoretically and experimentally.
 %The theoretical analysis is built on the MSC
@@ -203,9 +203,9 @@ a novel mutual information-based metric for more reasonable measuring the compos
 %with eliminated external environment factors.
 %With a novel mutual information-based metric for the compositionality,
 The experimental results lead to a counter-intuitive conclusion that lower agent
-capacity facilitates the emergence of symbolic language with higher
-compositionality. \note{Based on our conclusion, we can generate higher
-compositional symbolic language with a higher probability.}
+capacity facilitates the emergence of language with higher
+compositionality. \note{Based on our conclusion, we can get a more
+compositional language with a higher probability.}
 
 
 %  The natural emergence of symbolic languages with high compositionality has

AAAI2021/tex/introduction.tex

@@ -19,7 +19,7 @@ Compositionality is a principle that determines
 whether the meaning of a complex expression (e.g, phrase), which is assembled out of a
 given set of simple components (e.g., symbols), can be determined by its
 constituent components and the rule combining them~\cite{}.
-\note{For example, the expression "AAAI is a conference'' consists of two
+\note{For example, the expression ``AAAI is a conference'' consists of two
 meaningful words ``AAAI'' and ``conference'', and a rule for definition (``is'').
 Compositionality is considered to be a source of productivity,
 systematicity, and learnability of language, and the reason why a language with finite