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.
Authors
- Alberto Antonioni (ORCID: https://orcid.org/0000-0002-5788-3348)
- The Anh Han (ORCID: https://orcid.org/0000-0002-3095-7714)
- Andreia Sofia Teixeira (ORCID: https://orcid.org/0000-0002-2758-1891)
Institutions
- Northeastern University (US)
- Institute for Cross-Disciplinary Physics and Complex Systems (ES)
- Universidad Carlos III de Madrid (ES)
- Teesside University (GB)
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
Funders
- Strong
- Engineering and Physical Sciences Research Council