Agent-Based Synthesis of Electromechanical Design Configurations-Reference-Cited by-同舟云学术

Agent-Based Synthesis of Electromechanical Design Configurations

Published:2000-01-01 Issue:1 Volume:122 Page:61-69
ISSN:1050-0472
Container-title:Journal of Mechanical Design
language:en
Short-container-title:

Author:

Campbell Matthew I.¹,Cagan Jonathan¹,Kotovsky Kenneth²

Affiliation:

1. Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213

2. Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213

Abstract

A new automated approach to engineering design known as A-design is presented that creates design configurations through the interaction of software agents. By combining unique problem solving strategies, these agents are able to generate solutions to open-ended design problems. The A-design methodology makes several theoretical claims through its combination of multiagent systems, multiobjective design selection, and stochastic optimization, and is currently implemented to solve general electromechanical design problems. While this paper presents an overview of the theoretical basis for A-design, it primarily focuses on the method for representing electromechanical design configurations and the reasoning of the agents that construct these configurations. Results from an electromechanical test problem show the generality of the functional representation. [S1050-0472(00)00701-7]

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Link

http://asmedigitalcollection.asme.org/mechanicaldesign/article-pdf/122/1/61/5797553/61_1.pdf

Reference26 articles.

1. Langton, C. G. (ed.), 1988, Artificial Life, Addison Wesley, Reading, MA.

2. Holland, J. H., 1992, Adaptation in Natural and Artificial Systems, MIT Press, Cambridge, MA, 2nd edition.

3. Talukdar, S., Baerentzen, L., Gove, A., and de Souza, P., 1996, “Asynchronous Teams: Organizations for Algorithmic Computation,” EDRC Tech-Report 18-56-96, EDRC Carnegie Mellon University, Pittsburgh, PA.

4. Lander, S. E. , 1997, “Issues in Multiagent Design Systems,” IEEE Expert, 12, No. 4, pp. 18–26.

5. Grecu, D. L., and Brown, D. C., 1996, “Learning by Single Function Agents During Spring Design,” Artificial Intelligence in Design, Gero, J. S., and Sudweeks, F., eds., Kluwer Academic, Dordrecht, Netherlands, pp. 409–428.

Cited by 56 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. Enumeration and Identification of Unique 3D Spatial Topologies of Interconnected Engineering Systems Using Spatial Graphs;Journal of Mechanical Design;2023-08-16

2. Machine Learning-Based Design Concept Evaluation;Journal of Mechanical Design;2020-01-25

3. A Problem Class With Combined Architecture, Plant, and Control Design Applied to Vehicle Suspensions;Journal of Mechanical Design;2019-05-13

4. A bottom-up function-based synthesis approach for complex mechanisms based on clustering rules;Mechanics Based Design of Structures and Machines;2019-03-16

5. A state–behavior–function model for functional modeling of multi-state systems;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2018-08-15