Cristian Levcovici

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AI technique employed and issue addressed: • Knowledge Acquisition Bottleneck • Development and implementation of a learning-based methodology and agent shell, called Disciple-COA, for direct knowledge acquisition from domain experts with limited assistance from knowledge engineers. Tools used • LISP and JAVA were used to develop the Disciple-COA shell •(More)
This paper presents Disciple-COA, the most recent learning agent shell developed in the Disciple framework that aims at changing the way an intelligent agent is built: from " being programmed " by a knowledge engineer, to " being taught " by a domain expert. Disciple-COA can collaborate with the expert to develop its knowledge base consisting of a(More)
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