genetic algorithm
Competitive algorithm for searching a problem space.
- Founded / created
- 1975all 1975 milestones
- Type of
- informed search algorithm, evolutionary algorithm, machine learning method
- Instance of
- algorithm
More concepts & methods
- machine learningscientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions
- deep learningspecialized form of machine learning that uses artificial neural networks to identify patterns in data
- Altitude, depth and rangeFelix Rieseberg’s framework for ambition with AI models: speed repeats work faster, altitude targets outcomes, depth uses expert instruments and range combines disciplines.
- Outcome-based promptingAsking an AI agent to pursue a specified change for a user or system, with evidence and boundaries, instead of merely producing a named deliverable.
- AI outside judgeAn acceptance check outside an agent’s self-assessment, such as a deterministic test, held-out evaluation, measurement or separately briefed reviewer.
- Multidisciplinary agent reviewA workflow in which specialist passes apply distinct methods and produce concrete evidence, rather than merely imitate expert personas.
Sources
- Wikidata Q187787 (structured facts, CC0)
- Wikipedia