Classical game theory predicts what rational actors should do. The Behavioral Modifiers Framework predicts what real humans will do. The gap between those predictions is where the most actionable intelligence lives.
Game theory and behavioral economics have operated in parallel for decades. One provides structure. The other provides realism. Neither provides both.
Nash equilibria, BATNA computation, payoff matrices. Rigorous structure for modeling strategic interactions. But assumes players are rational actors who maximize expected utility.
Loss aversion, endowment effect, status quo bias. Decades of research on systematic cognitive biases. But doesn't formalize deviations into equilibrium models a strategist can compute against.
The BMF sits between who the player is and what the model predicts, translating psychology into quantified payoff adjustments.
Each bias has a definition, a litigation application, and a quantified adjustment factor. Together, they form the standard modifier set.
Biases don't operate alone. These combinations produce the most strategically significant — and puzzling — behaviors.
A stakeholder in a multi-party negotiation. Classical game theory says cooperate. Observed behavior says otherwise. The BMF explains why — and what to do about it.
The BMF doesn't just explain behavior — it identifies which levers shift the equilibrium back toward cooperation.
Rigorous frameworks require calibration — tracking predictions against outcomes to refine the model over time. Without that discipline, there is no feedback loop.
Tools you own. Expertise on call. Behavioral intelligence built into the pipeline.
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