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Towards Swarm Intelligence of Alcoholics

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Biomedical Engineering Systems and Technologies (BIOSTEC 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 881))

Abstract

I distinguish the swarm behaviour from the social one. The swarm behaviour is carried out without symbolic interactions, but it is complex, as well. In this paper, I show that an addictive behaviour of humans can be considered a kind of swarm behaviour, also. The risk of predation is a main reason of reducing symbolic interactions in human group behaviours, but there are possible other reasons like addiction. An addiction increases roles of addictive stimuli (e.g. alcohol, morphine, cocaine, sexual intercourse, gambling, etc.) by their reinforcing and intrinsically rewarding and we start to deal with a swarm. I show that the lateral inhibition and lateral activation are two fundamental patterns in sensing and motoring of swarms. The point is that both patterns allow swarms to occupy several attractants and to avoid several repellents at once. The swarm behaviour of alcoholics follows the lateral inhibition and lateral activation, too. In order to formalize this intelligence, I appeal to modal logics K and its modification K’. The logic K is used to formalize preference relation in the case of lateral inhibition in distributing people to drink jointly and the logic K’ is used to formalize preference relation in the case of lateral activation in distributing people to drink jointly.

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Acknowledgement

The research was carried out by the support of FP7-ICT-2011-8. This paper is an extension of [29] presented at BIOSIGNALS, 2017, Porto, Portugal. I am thankful to Vadim Fris for helping in performing this research.

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Correspondence to Andrew Schumann .

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Schumann, A. (2018). Towards Swarm Intelligence of Alcoholics. In: Peixoto, N., Silveira, M., Ali, H., Maciel, C., van den Broek, E. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2017. Communications in Computer and Information Science, vol 881. Springer, Cham. https://doi.org/10.1007/978-3-319-94806-5_17

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  • DOI: https://doi.org/10.1007/978-3-319-94806-5_17

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