Bridging behavioural factors and standard bio?economic modelling in an agent?based modelling framework

Agent-based models are important tools for simulating farmers’ behaviour in response to changing environmental, economic or institutional conditions and policies. This article introduces an agent-based modelling approach that combines behavioural factors with standard bio-economic of agricultural production. More specifically, our framework integrates the cumulative prospect theory social interactions constrained optimisation decisions We apply exemplary model on assessment weed control decisions. Results show effects heterogeneous farm decision-making networks mechanical herbicide use. provides a generic conceptually sound improve scope representing allows simulation their recent advances economics be aligned existing systems.