A Minimal Model of Bounded Trade-Off Screening in Multi-Attribute Choice

The article presents a new model for multi-attribute decision-making that challenges classical utility aggregation by introducing a bounded trade-off reasoning framework. This model incorporates a trade-off tolerance parameter that varies by context, allowing for a screening process that evaluates gains and losses across attributes. The findings from simulations indicate that this approach yields preference patterns distinct from traditional models, suggesting implications for understanding human decision behavior and informing future behavioral research.