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BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics

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Published in:ArXiv cs.MA Recent Papers
Format: Online Article RSS Article
Published: 2026
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publishDateSort 2026
record_format rss_article
spellingShingle BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics
ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
subject_facet ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
title BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics
title_auth BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics
title_full BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics
title_fullStr BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics
title_full_unstemmed BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics
title_short BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics
title_sort behave: a hybrid ai framework for real-time modeling of collective human dynamics
topic ArXiv cs.MA Recent Papers
Petroleum & Energy
Engineering & Technology
url https://arxiv.org/abs/2605.12730v1