Computational Models of Human Behaviour

This theme will conduct research on building computational models of cognitive, social and economic behaviours of individuals, organisations and society, including evolutionary considerations. This will lead to research into ways of designing or improving social systems and into formal methods for establishing theoretical results in this domain. A specific instance is information diffusion models e.g., risk perception and translation issues.

Theme Leads

Jungpil HAHN, School of Computing
Ben BLUMSON, Faculty of Arts and Social Sciences

Key Areas of Focus & Collaboration

  • Modelling cognitive, social and economic behaviours of individuals, organisations and society, including evolutionary considerations.
  • Research into ways of designing or improving social systems in the light of such behavioural models.
  • Research into formal methods of establishing theoretical results in this domain (complementing those of e.g. game-theoretical economics).
  • Understanding of messaging and information diffusion, e.g. regarding perception of risks, and issues involving translation.
  • Particular issues arising from political discourse, e.g. polarisation.
  • Potential for technological innovation to address these issues.
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