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Data · dataset · 2026

CAKT-Agent

Listed in ScienceDB

A scenario adaptive knowledge tracking intelligent agent CAKT Agent based on a hybrid expert model is constructed to build a three-level collaborative architecture consisting of a unified memory module, a learning agent, and a companion learning agent.

Description

The unified memory module realizes global storage and sharing of learning data, educational prior knowledge, and intermediate states; Learning agents define five dimensional contexts based on educational measurement and cognitive science, design a hybrid expert architecture for dimensional perception, and achieve adaptive fusion of contexts through a two-level gating mechanism; The companion learning agent relies on expert activation weights and educational theory rules to generate learning diagnostic reports with educational comprehensibility. 

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.010qt11 d agoJSON v1
FieldAssertionExtractorEvidence
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