Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6854427 | Engineering Applications of Artificial Intelligence | 2015 | 16 Pages |
Abstract
As our Knowledge Based Systems (KBS) is more focused on preliminary design, and more particularly in the field of process engineering, we need to unify in the same method two types of knowledge: contextual and general. To realize this, this article proposes the integration of the Constraint Satisfaction Problem (based on general knowledge) approach into the Case Based Reasoning (based on contextual knowledge) process to improve the case representation and the adaptation of past experiences. To highlight its capability, the proposed approach is illustrated through a case study dedicated to the design of an industrial mixing device.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
E. Roldan Reyes, S. Negny, G. Cortes Robles, J.M. Le Lann,