👉 Behavioral math, also known as dynamic systems theory, studies how systems change and evolve over time, often focusing on patterns of interaction and feedback loops. It uses mathematical models to describe these changes, capturing how individual behaviors influence collective outcomes. Key concepts include attractors (stable states the system tends towards), bifurcations (sudden shifts in behavior due to parameter changes), and chaos theory (sensitive dependence on initial conditions leading to unpredictable outcomes). By applying tools like differential equations, discrete-time models, and network theory, behavioral math helps explain phenomena in fields ranging from ecology and economics to social dynamics and neuroscience, providing insights into how complex systems self-organize and adapt.
