Convention Emergence with Congested Resources

Priel Levy, Nathan Griffiths

Research output: Contribution to journalArticlepeer-review

Abstract

Norms and conventions enable coordination in populations of agents by establishing patterns of behaviour, which can emerge as agents interact with their environment and each other. Previous research on norm emergence typically considers pairwise interactions, where agents’ rewards are endogenously determined. In many real-life domains, however, individuals do not interact with one other directly, but with their environment, and the resources associated with actions are often congested. Thus, agents’ rewards are exogenously determined as a function of others’ actions and the environment. In this paper, we propose a framework to represent this setting by: (i) introducing congested actions; and (ii) adding a central authority, that is able to manipulate agents’ rewards. Agents are heterogeneous in terms of their reward functions, and learn over time, enabling norms to emerge. We illustrate the framework using transport modality choice as a simple scenario, and investigate the effect of representative initial, late and temporary manipulations on the emergent norms.

Original languageEnglish
Article number282
JournalSN Computer Science
Volume4
Issue number3
DOIs
StatePublished - May 2023

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

Keywords

  • Congestion games
  • Conventions
  • Interventions
  • Norm emergence

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