Work

Focus on game theory and AI in complex systems

Year: 2025

Type: editorial

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.

Source: Journal of Physics Complexity

DOI: 10.1088/2632-072x/ade588

Authors: The Anh Han, Alberto Antonioni, Andreia Sofia Teixeira

Institutions: Teesside University, Universidad Carlos III de Madrid, Northeastern University London

Language: English

Topic: Game Theory and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,600

Funders: Strong, Engineering and Physical Sciences Research Council