Optimization Assumption Hides Modeling Difficulty

Modeling becomes deceptively easy if you assume agents optimize like physicists, because then everything reduces to math; but realistic modeling must also describe how boundedly-rational agents muddle through via heuristics and trial-and-error with few trials, which is far harder and is often avoided—'looking for the keys under the lamppost.'