Interfacing Machine Coding and Agent-Based Models Using the Institutional Grammar Tool to Understand Regulatory Compliance in U.S. Organic Farming

• In Event: Artificial Intelligence, Machine Learning, and Governance

Brief Overview

This paper assesses how the decision-making and actions of individuals, as constrained by institutionally derived behavioral parameters, links to systemic compliance outcomes within U.S. organic farming regulation.

Authors

• Saba Naseem Siddiki, Syracuse University

• Christopher Frantz, Norwegian University of Science and Technology