Knowledge compilation using constraint inheritance

Author:

Chabot Rosemary,Brown David C.

Abstract

AbstractDesign knowledge is continually refined and expanded through experience. This research is concerned with design knowledge expressed as constraints. A simple learning mechanism simulates an expert designer's ability to incrementally adjust her knowledge when presented with slightly new problems. In response to unsatisfied expectations during the design process the system will examine its general knowledge about the design artifact, discover some relevant constraining knowledge, and convert that knowledge into a design constraint for future use. This process, referred to as constraint inheritance, should automatically improve the problem-solving performance.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey on automating configuration and parameterization in evolutionary design exploration;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2015-10-07

2. Learning while designing;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2004-11

3. Evolving a model of learning in design;Research in Engineering Design;2004-03-01

4. A foundation for machine learning in design;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;1998-04

5. Knowledge compilation in routine design problem-solving systems;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;1996-04

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