entity · derived
Trial and error
Derived node: assembled mechanically from the claims carrying trial-and-error. A roster, not an adjudicated definition.
Every claim under this term
- 2267560-006 : Trial-and-error rulemaking is suboptimal because participating actors acquire the necessary information ex-post, only after rules have turned out to be suboptimal, rather than increasing the availabil
- 2267560-008 : Supplementing the rulemaking process with dynamic elements increases the public rulemaker's ability to adapt public rules to unknown future states, and thereby curtails public trial-and-error rulemaki
- 2267560-020 : In the conventional NIE learning process, the requirements for rules and their adaptability to future states become clear only after stable and presumptively optimal rules have already emerged as subo
- 2267560-051 : The combination of multiple feedback processes results in a sequence of mutually-reinforcing, information-enhancing events that minimizes ex-post trial-and-error experimentation with stable rules afte
- kaal-2014-dynamicregulationviagove-002 : Anticipatory dynamic elements in regulation reduce the need for costly and suboptimal ex post trial and error experimentation with stable and presumptively optimal rules.
- kaal-2014-dynamicregulationviagove-015 : The trial and error approach to rulemaking structurally prevents rulemakers from obtaining relevant information ex ante, before rules are enacted.
- kaal-2014-dynamicregulationviagove-019 : Trial and error rulemaking could become obsolete if dynamic elements in rulemaking processes systematically anticipated future contingencies and the corresponding regulatory needs.
- 2808132-002 : Ex post facts-based, trial-and-error rulemaking combined with stable and presumptively optimal rules often produces suboptimal regulatory outcomes, and those outcomes are no longer sustainable in an e
- 2808132-028 : The collective action problem of rulemaking, the problems of trial-and-error rulemaking, and the problems of regulatory cycles derive largely from the nature of stable and presumptively optimal rules
- 2808132-030 : Regulatory cycles and trial-and-error rulemaking become less prevalent under adaptive rulemaking because adaptive capabilities supplement stable rules, making rule revisions less frequent.