Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda

A strategic optimizing carbon neutrality within profit and emission reduction efficiency: A Stackelberg game analysis under a cap-and-trade scheme

“…While their priority is green innovation, there is some similarity to the above study regarding environmental considerations and production optimization. In terms of simulation modeling, our findings improved the findings of Noeldeke and Winter (2022), who used simulation models, particularly in the context of agroforestry adoption in rural Rwanda. Although the context and focus diverge from those of the above study, both works use simulation models to understand decision-making processes in specific scenarios.…”

“…Simulation-based optimization emerges as a unique method in the literature (Pan et al, 2021), with studies like Noeldeke and Winter (2022) employing agentbased simulation in agricultural and forestry decision-making. However, these studies did not consider the optimal behavior of GTI or incentive approaches for reducing CO2e within manufacturing EGCs.…”

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“…B. Noeldeke et al (2022) compares several decision-making approaches to the transition of smallholder farmers to agroforestry, and creates a simulation model for rural Rwanda based on data from a socio-economic survey of smallholder farmers on the adoption of agroforestry. The modelling results show that decision-making based on the theory of rational choice and the econometric approach should be based on the criteria of maximum profit and sales revenue, It was suggested that model developers substantiate the approach to decision-making in the issues of enterprise economics based on maximum compliance with real processes and considering undiscounted and discounted profit maximisation.…”

Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review

“…Optimization models include network design problems, scheduling problems, facility location problems, vehicle routing problem, and technology selection problem are methods for biomass supply chains management [67]. In the work of Noeldeke B. et al, an agentbased simulation model and different decision-making models focusing on an agroforestry system with various tree species in Sub-Saharan Africa and coming up with decisions made based on theory of planned behavior, random choice, econometric approach, bounded rationality, and perfect rationality [68].…”