Modeling Adaptive Learning Agents for Domain Knowledge Transfer

The implementation of intelligent agents in industrial applications is often prevented by the high cost of adopting such a system to a particular problem domain. This paper states the thesis that when learning agents are applied to work environments that require domain-specific experience, the agent...

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Bibliographic Details

Published in:	2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) pp. 660 - 665
Main Author:	Hoser, Moritz
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2019
Subjects:	Adaptation models Adaptive learning Adaptive Learning Agents Costs Domain modeling Intelligent agents Knowledge based systems Knowledge engineering Knowledge transfer Manuals Metamodeling Model driven engineering Multi-modeling
Online Access:	Get full text
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