Title :
Improving the Behavior of Intelligent Tutoring Agents with Data Mining
Author :
Nkambou, Roger ; Fournier-Viger, Philippe ; Nguifo, Engelbert Mephu
Author_Institution :
Univ. of Quebec at Montreal, Montreal, QC
Abstract :
An extended sequential pattern- mining algorithm combined with association-rule- discovery techniques can extract temporal patterns and relationships from human agents.
Keywords :
cognition; data mining; expert systems; multi-agent systems; problem solving; relevance feedback; association-rule-discovery techniques; cognitive agents; cognitive architecture; data mining; extended sequential pattern-mining algorithm; human agents; human experts; intelligent agents; intelligent tutoring agents; problem-solving situations; procedural domain knowledge; relevant feedback; temporal patterns; Association rules; Data mining; Earthquakes; Humans; Intelligent agent; Robots; Scanning probe microscopy; Software engineering; Spatial databases; Time factors; cognitive agent; data mining; intelligent agent; intelligent tutoring systems; knowledge acquisition; knowledge discovery;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2009.59
