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VI - Zootechnologies

Published online by Cambridge University Press:  21 November 2020

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Summary

Abstract

This chapter develops the concept of zootechnologies and of swarming as a cultural technique with regard to four decisive application areas. First, it discusses the development of drone swarms under the hypothesis that these create a multifold ‘spatial intelligence.’ Second, it highlights the importance of a variety of agent-based modeling toolkits for the dissemination of ‘swarm-intelligent’ applications throughout different scientific disciplines. Third, it investigates the impact of ‘swarm intelligence’ on the field of architectural design and urbanism and discusses attempts to conceptually exploit swarming for architectural theory. Finally, it turns towards the research field of crowd control where ABM ‘pre-mediates’ human crowd dynamics and turns traditional concepts of ‘the mass’ upside down.

Keywords: drone swarms, swarm architecture, agent-based modelling, swarm intelligence, crowd simulation, parametric design

Science has done all the easy tasks – the clean simple signals. Now all it can face is the noise; it must stare the messiness of life in the eye.

In media-historical terms – as I discussed in my introduction – swarms have been fused into biological, computer-technical hybrids that can best be understood with the concept of zootechnologies. For, contrary to biotechnologies or biomedia, they are conceptualized less on the basis of bíos (the notion of ‘animated’ life) than on the basis of zoē, the unanimated life in the swarm – a sort of life that can be technically implemented. The knowledge gained from this hybridization has helped to establish a highly technical lifeworld that is increasingly confronted with models of complex contexts and systems. Whenever one is faced with disrupted or constantly changing conditions, or whenever solutions need to be found for unclearly defined sets of problems, methods can now be employed that are commonly known under the umbrella term ‘swarm intelligence.’ Eric Bonabeau, Marco Dorigo, and Guy Theraulaz thus make the following remarks toward the beginning of their standard work Swarm Intelligence: From Natural to Artificial Systems:

Researchers have good reasons to find swarm intelligence appealing: at a time when the world is becoming so complex that no single human being can understand it, when information (and not the lack of it) is threatening our lives, when software systems become so intractable that they can no longer be controlled, swarm intelligence offers an alternative way of designing ‘intelligent’ systems, in which autonomy, emergence, and distributed functioning replace control, preprogramming, and centralization.

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Chapter
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Zootechnologies
A Media History of Swarm Research
, pp. 297 - 356
Publisher: Amsterdam University Press
Print publication year: 2019

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