"The problem facing the development of expert systems, that is, systems that enable a computer to simulate expert performance ... is that an important part of the expert knowledge is tacit. If experts try to articulate the knowledge they apply in their performance, they normally regress to a lower level. Therefore, according to Hubert and Stuart Dreyfus, expert systems are not able to capture the skills of an expert performer."
#RagnarFjelland, 2020
https://www.europesays.com/1988179/ Exploring Artificial Intelligence Applications in Agriculture #AI #ArtificialIntelligence #ComputerVision #ExpertSystems #MachineLearning #NaturalLanguageProcessing #PennStateExtension #ReinforcementLearning #Robotics
MYCIN for identifying bacterial infections, and Dipmeter Advisor for analyzing oil exploration data, were expert systems developed with Interlisp as well as early AI success stories. Learn more:
MYCIN
https://en.wikipedia.org/wiki/Mycin
https://archive.org/details/rulebasedexperts00buch
Dipmeter Advisor
https://en.wikipedia.org/wiki/Dipmeter_Advisor
#ExpertSystems in general, and #Cyc in particular, were once the coolest things in #ArtificialIntelligence 
:
“Cyc: History’s Forgotten AI Project”, I. A. Fisher (https://outsiderart.substack.com/p/cyc-historys-forgotten-ai-project).
» However while research funding dried up and the term #AI became less used, many green shoots where planted and continued more quietly under discipline specific names:
cognitive systems,
machine learning,
intelligent systems,
knowledge representation and reasoning.
Offshoots of these then made their way into commercial systems, such as #ExpertSystems in the #BusinessRules Management System #BRMS market. «
https://blog.kie.org/2012/05/drools-5-4-artificial-intelligence-a-little-history.html
