Focus on game theory and AI in complex systems

Abstract This editorial reviews recent progress at the intersection of game theory and artificial intelligence (AI) in tackling complex systems related to human behaviour, as featured in the Focus Issue (‘on Game Theory and AI on Complex Systems’) of J. Phys. Complex . Leveraging game-theoretic frameworks alongside AI-driven analysis, contributions in this issue explore a broad range of challenges, from modelling behavioural dynamics to creating incentives for pro-social behaviour in hybrid human-AI societies. The contributions underline the potential of this interdisciplinary approach to advancing our understanding of complex human interactions and address critical societal challenges.

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Institutions

Publication Details

Journal
Journal of Physics Complexity
Published
2025-06-17
DOI
https://doi.org/10.1088/2632-072x/ade588
Citations
1
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
3.13

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article

Focus on game theory and AI in complex systems

Alberto Antonioni, The Anh Han, Andreia Sofia Teixeira
1 citations
Journal of Physics Complexity
Complex Systems and Time Series Analysis
3.13
article

Focus on game theory and AI in complex systems

Alberto Antonioni, The Anh Han, Andreia Sofia Teixeira
article en
1 citations

Abstract

Abstract This editorial reviews recent progress at the intersection of game theory and artificial intelligence (AI) in tackling complex systems related to human behaviour, as featured in the Focus Issue (‘on Game Theory and AI on Complex Systems’) of J. Phys. Complex . Leveraging game-theoretic frameworks alongside AI-driven analysis, contributions in this issue explore a broad range of challenges, from modelling behavioural dynamics to creating incentives for pro-social behaviour in hybrid human-AI societies. The contributions underline the potential of this interdisciplinary approach to advancing our understanding of complex human interactions and address critical societal challenges.

Journal of Physics ComplexityVol. 6(3)
Northeastern University (US), Institute for Cross-Disciplinary Physics and Complex Systems (ES), Universidad Carlos III de Madrid (ES), Teesside University (GB)
Strong, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 8%
Complex Systems and Time Series Analysis
3.13
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