Abstract
In today’s age of neural networks and brain study, creativity is being introduced into lifeless systems by modelling the concept of learning. Many believe the artificial intelligence that is leading technology will eventually do most of a designer’s work. However, this artificial intelligence only results after long hours of training and is limited to the area within which it is trained. In nature, many systems can produce unpredictable solutions without the retention of information - such as trees. Although computers cannot accurately model nature’s growth mechanisms, it can be approximated with the concept of predictive non-determinism – where what is not understood is treated as random - and the rest of the system built around this. This paper lays out a four-tiered structure, inspired by growth principles seen in nature, for introducing emergence into the design system. The models presented are grown by random functions, controlled by a restriction of misfit and guided by the concept of fitness. It gives a bottom up approach to the design, with the user providing the desired functionality and asking what the possible designs are. The resulting models grown by these stochastic rules are emergent, providing the computer with the chance of creating unexpected and innovative solutions.
Original language | English |
---|---|
Title of host publication | Advances in Manufacturing Technology XXXIII: Proceedings |
Publisher | Taylor and Francis |
Pages | 379-385 |
Number of pages | 7 |
Volume | 9 |
DOIs | |
Publication status | Published - 2019 |
Event | 17th International Conference on Manufacturing Research - Queen's University Belfast, Belfast, United Kingdom Duration: 10 Sept 2019 → 12 Sept 2019 Conference number: 17 http://www.icmr.org.uk/ |
Publication series
Name | Advances in Transdisciplinary Engineering |
---|---|
Publisher | IOS |
Volume | 9 |
ISSN (Print) | 2352-751X |
ISSN (Electronic) | 2352-7528 |
Conference
Conference | 17th International Conference on Manufacturing Research |
---|---|
Abbreviated title | ICMR 2019 |
Country/Territory | United Kingdom |
City | Belfast |
Period | 10/09/2019 → 12/09/2019 |
Internet address |
Keywords
- Bio-inspired design system
- growth rules
- computer aided design
- emergence
- innovation
- predictive non-determinism
Fingerprint
Dive into the research topics of 'Bio-inspired growth: introducing emergence into computational design'. Together they form a unique fingerprint.Student theses
-
Goal-driven design in a bio-inspired system
Kyle, S. R. (Author), Nolan, D. (Supervisor), Price, M. (Supervisor) & Zhang, W. (Supervisor), Jul 2023Student thesis: Doctoral Thesis › Doctor of Philosophy
File