Why Processing is Not Swarm Intelligence
- 336 Downloads
Swarm intelligence has been applied to form-finding methodologies in architectural design, with Processing as one of the most important working platforms deployed. With swarm intelligence feedback is one of the core issues to deal with as this is where complexity emerges and the potential of this methodology becomes manifest. However, with Processing only limited feedback can be achieved as true swarm intelligence involves other incalculable and nonlinear factors, such as stigmergy, that requires a deep relationship not only with other agents but also with the broad background condition. As such, we need to draw a distinction between computational and non-computational complexity, and to recognise the limitations of computational complexity. Processing therefore offers us only a computational and therefore a limited model for understanding swarm intelligence.
KeywordsFeedback Generative design Stigmergy Emergence
- 2.Snooks, R.: Behavioral Formation: Multi-agent Algorithmic Design Strategies, p. 16. RMIT University, Australia (2014)Google Scholar
- 3.Leach, N., Snooks, R.: Swarm Intelligence: Architectures of Multi-agent Systems, pp. 91–92. Tongji University Press, Shanghai (2017)Google Scholar
- 4.Johnson, S.: Emergence: The Connected Lives of Ants, Brains, Cities, and Software. Simon and Schuster, p. 76 (2002)Google Scholar
- 6.Kelly, K.: New Rules for the New Economy: 10 Radical Strategies for a Connected World. Penguin, p. 15 (1999)Google Scholar