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General Problem Solver | computer model | Britannica

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SUBSCRIBESUBSCRIBESUBSCRIBE TO PREMIUMHomeHistory & SocietyScience & TechBiographiesAnimals & NatureGeography & TravelArts & CultureProConMoneyGames & QuizzesVideosOn This DayOne Good FactDictionaryNew ArticlesHistory & SocietyLifestyles & Social IssuesPhilosophy & ReligionPolitics, Law & GovernmentWorld HistoryScience & TechHealth & MedicineScienceTechnologyBiographiesBrowse BiographiesAnimals & NatureBirds, Reptiles & Other VertebratesEnvironmentFossils & Geologic TimeInsects & Other InvertebratesMammalsPlantsGeography & TravelGeography & TravelArts & CultureEntertainment & Pop CultureLiteratureSports & RecreationVisual ArtsImage GalleriesPodcastsSummariesTop QuestionsLists and StoriesBritannica KidsAsk the ChatbotGames & QuizzesHistory & SocietyScience & TechBiographiesAnimals & NatureGeography & TravelArts & CultureProConMoneyVideosGeneral Problem SolverReferencesmeans-ends analysis/ History…scientists called their model the General Problem Solver (GPS). GPS would recursively apply heuristic techniques in solving a given problem and conduct a means-ends assessment after each subproblem was solved to determine whether it was closer to the intended solution. Through this process, GPS could find solutions to mathematical theorems,……scientists called their model the General Problem Solver (GPS). GPS would recursively apply heuristic techniques in solving a given problem and conduct a means-ends assessment after each subproblem was solved to determine whether it was closer to the intended solution. Through this process, GPS could find solutions to mathematical theorems,…Allen NewellTheir next project was the General Problem Solver (GPS), which first ran in 1957. Given a problem, GPS would repeatedly apply heuristic techniques (modifiable “rules of thumb”) and then perform a “means-ends” analysis after each step to verify whether it was closer to the desired solution.Their next project was the General Problem Solver (GPS), which first ran in 1957. Given a problem, GPS would repeatedly apply heuristic techniques (modifiable “rules of thumb”) and then perform a “means-ends” analysis after each step to verify whether it was closer to the desired solution.

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