Constructing design methodologies using multiagent systems

被引：6
|
作者：
Shakeri, C
Brown, DC
机构：
[1] Knowledge Technol Int, Charlotte, NC 28262 USA
[2] Worcester Polytech Inst, Dept Comp Sci, Worcester, MA 01609 USA
来源：
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING | 2004年 / 18卷 / 02期
关键词：
artificial intelligence in design; design methodology; design process; multiagent system; multidisciplinary design;
D O I：
10.1017/S0890060404040090
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An innovative approach has been developed for discovering better design methodologies that is based on simulating the design process using a multiagent system that mimics the behavior of a design team. The system implements a knowledge-based model of design in which highly specialized knowledge from expert sources is applied to synthesize a design. The agents activate the pieces of design knowledge when they become applicable. The use of knowledge by agents is recorded by tracing the steps that the agents have taken during a design project. Many traces are generated by solving a large number of design projects that differ in their requirements. A set of design methodologies is constructed by using inductive learning techniques to generalize the traces generated. These methodologies then can be used to guide human design teams through future design projects.
引用
收藏
页码：115 / 134
页数：20
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