Optimization models predict steady states but carry no historical dimension
Evidence
The view that historical and cultural factors are unimportant also is implicit in the work of human behavioral ecologists (and others such as economists) who rely almost entirely on optimization models to predict human behavior. Although such models often provide a heuristic way to derive the steady-state outcomes of adaptive processes such as learning and natural selection, they are devoid of any historical dimension. — Joe Henrich and Robert Boyd, The Evolution of Conformist…, 105
Categorization
- XREF: connects to: Initial conditions shape but do not determine contentious processes — Charles Tilly, Regimes and Repertoires, 815; Classical d’ analysis fails in dynamic decision tasks where outcomes unfold over time; Masking depends on stimulus fluctuations in ways steady-state models cannot predict. (+4 more)
Broader Connections
- Sartre’s method substitutes lived experience, historical time-lag, and the project for logical class equations
#corroborates(0.83) — Fredric Jameson, Marxism and Form, 437 - Classical d’ analysis fails in dynamic decision tasks where outcomes unfold over time
#corroborates(0.82) - Masking depends on stimulus fluctuations in ways steady-state models cannot predict.
#corroborates(0.80) - Initial conditions shape but do not determine contentious processes
#qualifies(0.78) — Charles Tilly, Regimes and Repertoires, 815 - Initial conditions shape but do not determine contention outcomes across regimes
#qualifies(0.78) — Charles Tilly, Regimes and Repertoires, 816 - Aggregated past innovations trap groups on locally optimal yet suboptimal trajectories
#qualifies(0.76) — Joe Henrich and Robert Boyd, The Evolution of Conformist…, 114 - Natural measurements correlate over time because dynamics persist
#qualifies(0.73)