A Computational Model of Ostrom's Institutional Analysis and Development Framework (Extended Abstract)

Nieves Montes; Nardine Osman; Carles Sierra

IJCAI 2023poster0 citations

A Computational Model of Ostrom's Institutional Analysis and Development Framework (Extended Abstract)

Nieves Montes, Nardine Osman, Carles Sierra

Abstract

Ostrom's Institutional Analysis and Development (IAD) framework represents a comprehensive theoretical effort to identify and outline the variables that determine the outcome in any social interaction. Taking inspiration from it, we define the Action Situation Language (ASL), a machine-readable logical language to express the components of a multiagent interaction, with a special focus on the rules adopted by the community. The ASL is complemented by a game engine that takes an interaction description as input and automatically grounds its semantics as an Extensive-Form Game (EFG), which can be readily analysed using standard game-theoretical solution concepts. Overall, our model allows a community of agents to perform what-if analysis on a set of rules being considered for adoption, by automatically connecting rule configurations to the outcomes they incentivize.

Agent-based and Multi-agent Systems: MAS: Normative systemsAgent-based and Multi-agent Systems: MAS: Agent theories and modelsAgent-based and Multi-agent Systems: MAS: Agent-based simulation and emergenceAgent-based and Multi-agent Systems: MAS: Coordination and cooperation

BibTeX

@inproceedings{ijcai2023p786,
  title     = {A Computational Model of Ostrom's Institutional Analysis and Development Framework (Extended Abstract)},
  author    = {Montes, Nieves and Osman, Nardine and Sierra, Carles},
  booktitle = {Proceedings of the Thirty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-23}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Edith Elkind},
  pages     = {6937--6941},
  year      = {2023},
  month     = {8},
  note      = {Journal Track},
  doi       = {10.24963/ijcai.2023/786},
  url       = {https://doi.org/10.24963/ijcai.2023/786},
}