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Modeling agent decision and behavior in the light of data science and artificial intelligence

An, Li (author)
Grimm, Volker (author)
Bai, Yu (author)
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Sullivan, Abigail (author)
Turner II, B. L. (author)
Malleson, Nicolas (author)
Heppenstall, Alison (author)
Vincenot, Christian (author)
Robinson, Derek (author)
Ye, Xinyue (author)
Liu, Jianguo (author)
Lindkvist, Emilie, 1973- (author)
Stockholms universitet,Stockholm Resilience Centre
Tang, Wenwu (author)
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 (creator_code:org_t)
2023
2023
English.
In: Environmental Modelling & Software. - 1364-8152 .- 1873-6726. ; 166
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Agent-based modeling (ABM) has been widely used in numerous disciplines and practice domains, subject to many eulogies and criticisms. This article presents key advances and challenges in agent-based modeling over the last two decades and shows that understanding agents' behaviors is a major priority for various research fields. We demonstrate that artificial intelligence and data science will likely generate revolutionary impacts for science and technology towards understanding agent decisions and behaviors in complex systems. We propose an innovative approach that leverages reinforcement learning and convolutional neural networks to equip agents with the intelligence of self-learning their behavior rules directly from data. We call for further developments of ABM, especially modeling agent behaviors, in the light of data science and artificial intelligence.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Agent-based modeling
Modeling agent decisions and actions
Artificial intelligence
Machine learning
Data science

Publication and Content Type

ref (subject category)
art (subject category)

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