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AAAI21_Emergent_language
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haoyifan
AAAI21_Emergent_language
Commits
40e00454
Commit
40e00454
authored
Sep 08, 2020
by
Zidong Du
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AAAI2021/Makefile
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AAAI2021/paper.tex
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AAAI2021/tex/relatedwork.tex
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AAAI2021/Makefile
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40e00454
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@@ -2,7 +2,7 @@ MAKE = make
file
=
paper
all
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paper-writting paper-submission
all
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AAAI
paper-writting
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pdflatex
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$@
"
\n
ewcommand{
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ubmitmode}{false}
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pdftops final.pdf
ps2pdf14
-dPDFSETTINGS
=
/prepress final.pdf final-output.pdf
AAAI
:
pdflatex
-jobname
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$(file)
pdflatex
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$(file)
bibtex
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pdflatex
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$(file)
pdflatex
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push
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git push gitlab master:master
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AAAI2021/paper.tex
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%File: formatting-instructions-latex-2021.tex
%release 2021.1
%Added by Zidong
\usepackage
{
color
}
\newcommand
{
\rmk
}
[1]
{
\textcolor
{
red
}{
--[#1]--
}}
\newcommand
{
\note
}
[1]
{
\textcolor
{
red
}{
#1
}}
\usepackage
{
aaai21
}
% DO NOT CHANGE THIS
\usepackage
{
times
}
% DO NOT CHANGE THIS
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AAAI2021/tex/relatedwork.tex
View file @
40e00454
\section
{
Related works
}
\label
{
sec:relatedwork
}
%external environmental factors
Previous works focus on the external environmental factors that impact the
compositionality of emerged symbolic language.
For example, XXX proposed small vocabulary sizes~
\cite
{}
.
XXX proposed memoryless~
\cite
{}
.
XXX proposed carefully constructed distractors~
\cite
{}
.
XXX proposed ease-of-teaching~
\cite
{}
.
Such factors are deliberately designed, which are too ideal to be true in
the real world. None of these works realizes the importance of model capacity of
agent itself.
\rmk
{
this should be largely emphasized.
}
%measure
Additionally, to measure the compositionality of emerged symbolic language, many metrics are
proposed~
\cite
{}
.
Widely accepted metrics can be classified into two categories, measuring
positive signaling~
\cite
{}
and measuring positive listening~
\cite
{}
. The former
metrics measure the relationship between spoken symbols and received concepts
\rmk
{
not clear
}
, from the perspective of
\emph
{
speakers
}
.
For example,.
The latter metrics measure the relationship between received symbols and
predicted concepts
\rmk
{
not clear
}
, from the perspective of
\emph
{
listeners
}
.
For example,.
However, these metrics are not appropriate, for they only measure
compositionality of symbolic language in
\emph
{
unilateral
}
role
\rmk
{
not sure
}
,
either speakers or listeners. They can not measure the degree of mutual
understanding between speakers and listeners, i.e., the concept-symbol mapping
consistency between speakers and listeners.
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