A framework for agent-based models of human needs and ecological limits

Joël Foramitti*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The social and ecological challenges of our time require a better understanding of the complex interactions between the multiple dimensions of human well-being and environmental impacts. This article introduces the Needs and Limits (N&L) framework, a theoretical and computational foundation for agent-based simulations of heterogeneous individuals who try to increase their quality of life through the satisfaction of human needs. Based on psychological research, human needs are described as satiable, adaptive, and interdependent with the social and bio-physical environment. The N&L framework represents a generic foundation that can be applied to a broad range of socio-economic and ecological scenarios. A comparison is provided with classical utility approaches. The framework is illustrated for the topics of income inequality and climate policy.

Original languageEnglish
Article number107651
Pages (from-to)1-12
Number of pages12
JournalEcological Economics
Volume204
Issue numberPart A
Early online date4 Nov 2022
DOIs
Publication statusPublished - Feb 2023

Bibliographical note

Funding Information:
This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no 741087). I am grateful to Franziska Klein, whose ideas have greatly benefited the application examples. I further thank Jeroen van den Bergh, Ivan Savin, Théo Konc, Manuel Scholz-Wäckerle, Tania Treibich, Jarmo Kikstra, and Yannick Oswald for their helpful comments and support. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Funding Information:
This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no 741087 ).

Publisher Copyright:
© 2022 The Author(s)

Funding

This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no 741087). I am grateful to Franziska Klein, whose ideas have greatly benefited the application examples. I further thank Jeroen van den Bergh, Ivan Savin, Théo Konc, Manuel Scholz-Wäckerle, Tania Treibich, Jarmo Kikstra, and Yannick Oswald for their helpful comments and support. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no 741087 ).

Keywords

  • agent-based modeling
  • bio-physical constraints
  • human needs
  • quality of life
  • social simulation

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