Integrating Behavioral Theories in Agent-Based Models for Agricultural Drought Risk Assessments

Improving assessments of droughts risk for smallholder farmers requires a better understanding the interaction between individual adaptation decisions and drought risk. Agent-based modeling is increasingly used to capture decision-making environment. In this paper, we provide review agent-based models with focus on behavioral rules. This leads conclusion that human decision rules in existing are often based ad hoc assumptions without solid theoretical empirical foundation. Subsequently, economic psychological theories clear overview can improve foundation farmer behavior parameterization, calibration, validation methods those theories. Based these reviews, conceptual framework give guidance integration models. We conclude an agenda guide future research field.