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AAAI21_Emergent_language
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haoyifan
AAAI21_Emergent_language
Commits
8d738f52
Commit
8d738f52
authored
Sep 09, 2020
by
Zidong Du
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AAAI2021/paper.tex
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AAAI2021/tex/introduction.tex
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AAAI2021/paper.tex
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8d738f52
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@@ -7,6 +7,7 @@
\usepackage
{
color
}
\newcommand
{
\rmk
}
[1]
{
\textcolor
{
red
}{
--[#1]--
}}
\newcommand
{
\note
}
[1]
{
\textcolor
{
red
}{
#1
}}
\usepackage
{
enumitem
}
\usepackage
{
aaai21
}
% DO NOT CHANGE THIS
\usepackage
{
times
}
% DO NOT CHANGE THIS
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@@ -166,13 +167,13 @@
\maketitle
\begin{abstract}
The
natural
emergence of symbolic languages with high compositionality has
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., small vocabulary sizes, carefully constructed distractors,
and ease-of-teaching) in multi-agent learning, which are unnatural.
Yet, few studies investigate the emergence of symbolic language with high
compositionality
\emph
{
``naturally''
}
, i.e., without any deliberately handcrafted
compositionality
\emph
{
naturally
}
, i.e., without any deliberately handcrafted
inductions.
In this paper, we are the first to successfully achieve high compositional symbolic
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@@ -182,11 +183,14 @@
inductions, we observe that the agent capacity plays a key role in
compositionality. We further reveal and characterize the quantitative relationship
between the agent capacity and the compositionality of symbolic language both
theoretically and experimentally. The theoretical analysis is built on the MSC
(Markov Series Channel) model for the language transmission process and a
novel mutual information-based metric for the compositionality. The
experiments are conducted on a listener-speaker referential game framework
with eliminated external environment factors. Both theoretical analysis and
theoretically and experimentally.
%The theoretical analysis is built on the MSC
%(Markov Series Channel) model for the language transmission process and a
%novel mutual information-based metric for the compositionality.
%The
%experiments are conducted on a listener-speaker referential game framework
%with eliminated external environment factors.
Both theoretical analysis and
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
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AAAI2021/tex/introduction.tex
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8d738f52
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