Scientific Definition
A state where no player benefits from changing strategy unilaterally.
Plain-English Definition
A state where no player benefits from changing strategy unilaterally.
Feynman Explanation
Equilibrium isn't optimal. It's just stable.
Core Principle
A state where no player benefits from changing strategy unilaterally.
Mechanisms
Pending editorial review.
A state where no player benefits from changing strategy unilaterally.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Pending editorial review.
Recognizing when a market is structurally stuck.
Inputs (Triggers)
Pending editorial review.
Outputs (Behaviors)
Pending editorial review.
Behavioral Signature
Equilibrium isn't optimal. It's just stable.
Examples
- Most industry pricing settles into a Nash equilibrium.
- Recognizing when a market is structurally stuck.
Pending editorial review.
Famous Experiments
Pending editorial review.
Design Principles
- Look for structural disruptions that break the equilibrium.
Measurement Approaches
Pending editorial review.
Evidence
Pending editorial review.
Pending editorial review.
The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Look for structural disruptions that break the equilibrium.
Pending editorial review.
Pending editorial review.
Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
A behavioral relaxation of Nash: players choose better strategies more often, but not always — errors are smooth, not binary.
Systems maintain stability by self-regulating around a setpoint.
Subjects often converge to neoclassical predictions only after many rounds of feedback — not on the first try.
Systems that gain from disorder.
Approach motivation — pursuit of rewards and goals.
Avoidance motivation — sensitivity to punishment, uncertainty, and threat.
Map reinforcing (R) and balancing (B) feedback loops between variables to see system behavior.
A system with many interacting parts that learn and adapt.
Many interacting parts producing emergent behavior nobody designed.
Single-loop fixes the action. Double-loop questions the goal or model that produced it.
System 1 is fast, automatic, intuitive; System 2 is slow, effortful, deliberate.
Interdependent network of actors evolving together.