A classification and constraint-based framework for configuration

@article{Mailharro1998ACA,
  title={A classification and constraint-based framework for configuration},
  author={Daniel Mailharro},
  journal={AI EDAM},
  year={1998},
  volume={12},
  pages={383-397}
}
One of the main difficulties with configuration problem solving lies in the representation of the domain knowledge because many different aspects, such as taxonomy, topology, constraints, resource balancing, component generation, etc., have to be captured in a single model. This model must be expressive, declarative, and structured enough to be easy to maintain and to be easily used by many different kind of reasoning algorithms. This paper presents a new framework where a configuration problem… CONTINUE READING
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An object-oriented and constraint-based knowledge representation system for design object modeling

  • Yokoyama
  • 1990
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