Designing by Self-Organization
When designing mechanical systems, the method people normally use is based on what is called reductionism. Reductionism is very simple and powerful, because it is based on the one-to-one correspondence between the required functions and the necessary components of the system. Further, reductionism and the concept of centralized control are naturally suited to each other, because relations between functions and components are clearly seen in centralized control systems. The theme of this book is the theory of design utilizing self-organization, which is the opposite of reductionist design. In designing by self-organization, rather than assigning functions directly to components, relations between components are specified so that the components will organize the whole structure by themselves and consequently let the functions of the whole system emerge. A system built in this way does not have a central component, but instead has decentralized, distributed structure. Although it might seem a very roundabout way of building an entire system, it is a key to progress beyond the limits of reductionist design, by which it is increasingly difficult to meet demands for increasing complexity and scale. Engineering is a discipline which studies methods for creating useful things. The theory of design by self-organization is nothing other than an attempt to establish a new conceptual basis for creating such methods.
KeywordsMechanical System Autonomous System Large Scale System Centralize Control System Reductionist Design
Unable to display preview. Download preview PDF.
- 1.Simon, H.A.: The Sciences of the Artificial, 3rd edn. MIT Press (1996)Google Scholar
- 2.Prigogine, I., Nicolis, G.: Self-Organization in Non-Equilibrium Systems. Wiley (1977)Google Scholar
- 3.Haken, H.: Synergetics –An Introduction. Springer Series of Synergetics, vol. 1. Springer, Berlin (1978)Google Scholar
- 4.Camazine, S., et al.: Self-Organization in Biological Systems. Princeton Studies in Complexity. Princeton Univ. (2001)Google Scholar
- 5.Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence-From Natural to Artificial Systems. Oxford Univ. (1999)Google Scholar
- 6.Ito, M., et al.: Special issue on Decentralized Autonomous Systems. J. Soc. Instrum. Control Eng. (Keisoku to Seigyo) 29(10) (1990) (in Japanese)Google Scholar
- 7.Ito, M., et al.: Special issue on New Developments in Decentralized Autonomous Systems. J. Soc. Instrum. Control Eng. (Keisoku to Seigyo) 32(10) (1993) (in Japanese)Google Scholar
- 8.Ito, M.: Construction of Decentralized Autonomous Systems. J Soc. Instrum. Control Eng. (Keisoku to Seigyo) 29(10) (1990) (in Japanese) Google Scholar
- 9.Ito, M.: Future Challenges in Decentralized Autonomous Systems. J. Soc. Instrum. Control Eng. (Keisoku to Seigyo) 32(10) (1993) (in Japanese) Google Scholar
- 10.Ito, M., Ichikawa, A., Suda, N. (eds.): Jiritsu-Bunsan Sengen (The Distributed Autonomous Manifesto), Ohmsha (1995) (in Japanese)Google Scholar