From local to global consistency
Artificial Intelligence
Arc-consistency for continuous variables
Artificial Intelligence
Case-based reasoning
Case-Based Reasoning in Design
Case-Based Reasoning in Design
Inside Case-Based Reasoning
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
A Review Of Artificial Intelligence In Simulation
ACM SIGART Bulletin
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Database design tools: an expert system approach
VLDB '85 Proceedings of the 11th international conference on Very Large Data Bases - Volume 11
Consistency techniques for numeric CSPs
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Brief paper: How to take into account piecewise constraints in constraint satisfaction problems
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
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The aim of this communication is to describe how aiding-design tools can evaluate designed solutions to help users make the best choices, avoid design mistakes and reduce the design time-cycle. First, we will compare the two main methods for aiding design-behaviour simulation tools and domain knowledge simulation tools-and look at their advantages and drawbacks. We will focus on tools based on knowledge because of their 'interactivity' and for their ability to represent domain knowledge and show how they can be extended to evaluate designed solutions. We will then concentrate on an aiding-design tool based on constraints and see how a solution can be evaluated using an evaluation function. As such a tool has already been developed as part of a European project to help metallurgists design and evaluate heat treatment operations, we end with the presentation of a real example.