Article

Unraveling Hidden Interactions in Complex Systems with Deep Learning

2020-12-21

Abstract excerpt

<title>Abstract</title> <p>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 h...

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Literature Corpus work: ae1e1446-1f15-5639-b396-de05eb06af9c
DOI: 10.21203/rs.3.rs-125594/v1

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