Towards personalised software in machine design
Abstract
The paper presents a concept of knowledge based software supporting a long period machine design analysis - intelligent personal assistant. The concept of intelligent personal assistant is based on the maze model and optimisation model of the design process. The functional structure of the whole system is shown.
References
[1] U.M. Borghoff. Information Technology for Knowledge Management. http://www.iicm.edu/jucs3_8, 1998.
[2] S. Boulanger, I. Smith. Models of design process. Applications of Artificial Intelligence in Structural Engineering. Proceedings of the First EG-SEA-AI Workshop, Lausanne, pp. 30-46, 1994.
[3] R.D. Braun. NASA's Intelligent synthesis environment program. Integrated Enterprise, 2(1): 2-6, 2001.
[4] M.I. Campbell, J. Cagan, K Kotovsky. A-design: an agent-based approach to conceptual design in a dynamic environment. Research in Engineering Design, 11: 172-192, 1999.
[5] P. Cichocki, M. Gil, J. Pokojski. Heating System Design Support. In: Artificial Intelligence in Structural Engineering. Information Technology, Collaboration, Maintenance, and Monitoring. Springer-Verlag, Lecture Notes in Artificial Intelligence 1454, pp. 60- 68, 1998.
[2] S. Boulanger, I. Smith. Models of design process. Applications of Artificial Intelligence in Structural Engineering. Proceedings of the First EG-SEA-AI Workshop, Lausanne, pp. 30-46, 1994.
[3] R.D. Braun. NASA's Intelligent synthesis environment program. Integrated Enterprise, 2(1): 2-6, 2001.
[4] M.I. Campbell, J. Cagan, K Kotovsky. A-design: an agent-based approach to conceptual design in a dynamic environment. Research in Engineering Design, 11: 172-192, 1999.
[5] P. Cichocki, M. Gil, J. Pokojski. Heating System Design Support. In: Artificial Intelligence in Structural Engineering. Information Technology, Collaboration, Maintenance, and Monitoring. Springer-Verlag, Lecture Notes in Artificial Intelligence 1454, pp. 60- 68, 1998.
Published
2023-02-24
Issue
pp. 105-121
Section
Articles
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
How to Cite
Pokojski, J. (2023). Towards personalised software in machine design. Computer Assisted Methods in Engineering and Science, 9(1), 105-121. https://cames3.ippt.pan.pl/index.php/cames/article/view/1149
