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AAAI21_Emergent_language
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haoyifan
AAAI21_Emergent_language
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c9e87e67
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c9e87e67
authored
Sep 08, 2020
by
Zidong Du
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AAAI2021/tex/introduction.tex
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\section
{
Introduction
}
\label
{
sec:introduction
}
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.
including philology~
\cite
{}
, biology~
\cite
{}
, and computer
science~
\cite
{}
. Especially in computer science, efforts in recent years try to explore
the emergence of symbolic language in virtual environments, where agents are trained
to communicate with neural network based method, i.e, deep reinforcement
learning~
\cite
{}
. For example,
\note
{
XXXX
}
%Such works can be roughly classified into two categories,
%referential game~\cite{} and multi-agent reinforcement learning (MARL)~\cite{}, based on
%the environment setting.
To evaluate the emerged symbolic language, compositionality is widely used and
taken as an important metric.
Compositionality is a widely used metric to evaluate the emergent language.
It
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
...
...
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