Knowledge of the backgrounds of students of behaviour working in the field of applied animal behavior science may help us to recognize their influence on conclusions reached in a particular study and on more general points of view. This recognition may result in a speed up of the progress in this science, to the benefit of science and animals. Some types are: (1) Eco-ethologists (ethologists of the hunters-type). They like to stalk healthy wild animals in their natural environment. They are (...) less interested in the abnormal behavior of domestic animals under husbandry circumstances. (2) Behaviorists. These are psychologists that still think in a man-animal dichotomy. They are not interested in animals for their own sake but as models for human behavior. (3) Behavior physiologists. These biologists are not primarily interested in behavior. Because of the type of experiments they perform they have an aversity against animal protectionists. (4) Ethologists of the farmers type. These ethologists want to posses animals, collect animal species, take care of them and breed them. They are able to speak on approximately the same wavelength as farmers as well as animal protectionists. (5) Zootechnicians of the farmers type. These scientists want to make a living out of animals and like to take care for them. They are also able to speak at approximately the same wavelength as farmers and animal protectionists. (shrink)

This contribution examines the media history of swarm research and the significance of swarming techniques to current socio-technological processes. It explores how the procedures of swarm intelligence should be understood in relation to the concept of cultural techniques. This brings the concept into proximity with recent debates in posthuman (media) theory, animal studies and software studies. Swarms are conceptualized as zootechnologies that resist methods of analytical investigation. Synthetic swarms first emerged as operational collective structures by means of the reciprocal computerization (...) of biology and biologization of computer science. In a recursive loop, swarms inspired agent-based modelling, which in turn provided biological researchers with enduring knowledge about dynamic collectives. This conglomerate led to the development of advanced, software-based ‘particle systems’. Swarm intelligence has become a fundamental cultural technique related to dynamic processes and an effective metaphor for the collaborative efforts of society. (shrink)