Computational Model Library

Agent-based model of power dynamics in agri-food systems (1.0.0)

This is a stylised agent-based model designed to explore the conditions that lead to lock-ins and transitions in agri-food systems.

The model represents interactions between four different types of agents: farmers, consumers, markets, and the state. Farmers and consumers are heterogeneous, and at each time step decide whether to trade with one of two market agents: the conventional or alternative. The state agent provides subsidies to the farmers at each time step.

The key emergent outcome is the fraction of trade in each time step that flows through the alternative market agent. This arises from the distributed decisions of farmer and consumer agents. A “sustainability transition” is defined as a shift in the dominant practices (and associated balance of power) towards the alternative paradigm.

Each agent possesses two (dynamic) state variables: capital and values. These two variables, and their distribution throughout the agent populations, collectively influence the decisions of farmers and consumers, and thereby the fraction of trade that flows through the alternative market agent. Within the modelled interactions, agents exercise power in order to build their own capital and advance their values in the system.

The model is described in more detail in the associated publication.

Screenshot 2024-10-27 at 15.49.06.png

Release Notes

v1.0 - Published version.

Instructions for running the model are in README.md

Associated Publications

Forthcoming

Agent-based model of power dynamics in agri-food systems 1.0.0

This is a stylised agent-based model designed to explore the conditions that lead to lock-ins and transitions in agri-food systems.

The model represents interactions between four different types of agents: farmers, consumers, markets, and the state. Farmers and consumers are heterogeneous, and at each time step decide whether to trade with one of two market agents: the conventional or alternative. The state agent provides subsidies to the farmers at each time step.

The key emergent outcome is the fraction of trade in each time step that flows through the alternative market agent. This arises from the distributed decisions of farmer and consumer agents. A “sustainability transition” is defined as a shift in the dominant practices (and associated balance of power) towards the alternative paradigm.

Each agent possesses two (dynamic) state variables: capital and values. These two variables, and their distribution throughout the agent populations, collectively influence the decisions of farmers and consumers, and thereby the fraction of trade that flows through the alternative market agent. Within the modelled interactions, agents exercise power in order to build their own capital and advance their values in the system.

The model is described in more detail in the associated publication.

Release Notes

v1.0 - Published version.

Instructions for running the model are in README.md

Version Submitter First published Last modified Status
1.0.0 Tim Williams Sun Oct 27 15:11:30 2024 Sun Oct 27 15:11:31 2024 Published

Discussion

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