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Reflective reasoning in case-based reasoning agent

Autor
Sànchez-Marrè, M.; Cortes, U.; Bejar, J.; Rodriguez-Roda, I.; Poch, M.
Tipus d'activitat
Capítol de llibre
Llibre
Collaboration between human and artificial societies: coordination and agent-based distributed computing
Pàgina inicial
142
Pàgina final
158
Editorial
Springer
Data de publicació
1999-12
ISBN
3-540-66930-2 Obrir en finestra nova
DOI
https://doi.org/10.1007/10703260 Obrir en finestra nova
URL
http://link.springer.com/book/10.1007/10703260 Obrir en finestra nova
Resum
As a Case-Based Reasoning agent (CBR) evolves over time, and solves new problems based on previous experiences, there are some pitfalls that can appear in the problem-solving task. When those troubles arise, is the time to start some reflective reasoning tasks to overcome those problems and to improve the CBR performance. Our proposal is to extend the basic reasoning and learning cycle with some new added reflective tasks such as forgetting cases, learning new cases, updating the case library or...
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants