Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep learning reveals hidden interactions in complex systems   Rich phenomena from complex systems have long intrigued researchers, and yet
modeling system micro-dynamics and inferring the forms of interaction remain
challenging for conventional data-driven approaches, being generally
established by human scientists. In this study, we propose AgentNet, a
model-free data-driven framework consisting of deep neural networks to reveal
and analyze the hidden interactions in complex systems from observed data
alone. AgentNet utilizes a graph attention network with novel variable-wise
attention to model the interaction between individual agents, and employs
various encoders and decoders that can be selectively applied to any desired
system. Our model successfully captured a wide variety of simulated complex
systems, namely cellular automata (discrete), the Vicsek model (continuous),
and active Ornstein--Uhlenbeck particles (non-Markovian) in which, notably,
AgentNet's visualized attention values coincided with the true interaction
strength and exhibited collective behavior that was absent in the training
data. A demonstration with empirical data from a flock of birds showed that
AgentNet could identify hidden interaction ranges exhibited by real birds,
which cannot be detected by conventional velocity correlation analysis. We
expect our framework to open a novel path to investigating complex systems and
to provide insight into general process-driven modeling.

24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
14
The categories of this paper are: math-ph
2
The categories of this paper are: math
0
The categories of this paper are: hep-ph