Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Emergent Multi-Agent Communication in the Deep Learning Era   The ability to cooperate through language is a defining feature of humans. As
the perceptual, motory and planning capabilities of deep artificial networks
increase, researchers are studying whether they also can develop a shared
language to interact. From a scientific perspective, understanding the
conditions under which language evolves in communities of deep agents and its
emergent features can shed light on human language evolution. From an applied
perspective, endowing deep networks with the ability to solve problems
interactively by communicating with each other and with us should make them
more flexible and useful in everyday life.
  This article surveys representative recent language emergence studies from
  both of these two angles.

23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg