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» Knowledge Acquisition Evaluation Using Simulated Experts
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IJMMS
2006
90views more  IJMMS 2006»
13 years 7 months ago
Evaluating mass knowledge acquisition using the ALICE chatterbot: The AZ-ALICE dialog system
In this paper, we evaluate mass knowledge acquisition using modified ALICE chatterbots. In particular we investigate the potential of allowing subjects to modify chatterbot respon...
Robert P. Schumaker, Ying Liu, Mark Ginsburg, Hsin...
ISMDA
2003
Springer
14 years 24 days ago
Inductive Learning of Simple Diagnostic Scores
Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semi-automatic learni...
Martin Atzmüller, Joachim Baumeister, Frank P...
AIME
2009
Springer
14 years 2 months ago
Providing Objective Feedback on Skill Assessment in a Dental Surgical Training Simulator
Dental students devote several years to the acquisition of sufficient psychomotor skills to prepare them for entry-level dental practice. Traditional methods of dental surgical ski...
Phattanapon Rhienmora, Peter Haddawy, Siriwan Sueb...
MABS
2005
Springer
14 years 1 months ago
An Artificial Maieutic Approach for Eliciting Experts' Knowledge in Multi-agent Simulations
Models of human behaviours used in multi-agent simulations are limited by the ability of introspection of the social actors: some of their knowledge (reflexes, habits, non-formali...
François Sempé, Minh Nguyen-Duc, Sta...
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
13 years 12 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...