Case-based reasoning
CBR for diagnosis and decision support
AI Communications - Special issue on ECAI-96 Budapest
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Case-Based Reasoning Technology, From Foundations to Applications
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Case-based reasoning for diagnosis applications
The Knowledge Engineering Review
Image processing in case-based reasoning
The Knowledge Engineering Review
CBR for diagnosis: evidence relevance and case adaptation
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Hi-index | 0.00 |
Cased-Based Reasoning (CBR) is based on the use of previous experiences to solve new problems. In this work, we propose to use CBR paradigm for solving control reconfiguration problems. The reconfiguration task aims to maintain the system working despite some situations that may affect it (faults, change in production strategy, …). The main issue is then to find the new laws or rules to use in each different situation. In this article, we especially focus on the representation part. In fact, representation is a very important task in this type of problematic as the structure of the case will affect all the other phases of the CBR cycle.