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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abrahams, M., Colgan, P.: Risk of predation, hydrodynamic efficiency, and their influence on school structure. Environ. Biol. Fishes 13(3), 195–202 (1985)
Adamatzky, A., Erokhin, V., Grube, M., Schubert, T., Schumann, A.: Physarum chip project: growing computers from slime mould. Int. J. Unconv. Comput. 8(4), 319–323 (2012)
Beni, G., Wang, J.: Swarm intelligence in cellular robotic systems. In: Dario, P., Sandini, G., Aebischer, P. (eds.) Robots and Biological Systems: Towards a New Bionics. NATO ASI Series, pp. 703–712. Springer, Heidelberg (1993). https://doi.org/10.1007/978-3-642-58069-7_38
Blumer, H.: Symbolic Interactionism; Perspective and Method. Prentice-Hall, Englewood Cliffs (1969)
Bull, R.A., Segerberg, K.: Basic modal logic. In: The Handbook of Philosophical Logic, vol. 2, pp. 1–88. Kluwer (1984)
Costerton, J.W., Lewandowski, Z., Caldwell, D.E., Korber, D.R., et al.: Microbial biofilms. Annu. Rev. Microbiol. 49, 711–745 (1995)
Duffy, J.E.: The ecology and evolution of eusociality in sponge-dwelling shrimp. In: Kikuchi, T. (ed.) Genes, Behavior, and Evolution in Social Insects, pp. 1–38. University of Hokkaido Press, Sapporo (2002)
Helbing, D., Keltsch, J., Molnar, P.: Modelling the evolution of human trail systems. Nature 388, 47–50 (1997)
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407(6803), 487–490 (2000)
Jacobs, D.S., et al.: The colony structure and dominance hierarchy of the Damaraland mole-rat, Cryptomys damarensis (Rodentia: Bathyergidae) from Namibia. J. Zool. 224(4), 553–576 (1991)
Jarvis, J.: Eusociality in a mammal: cooperative breeding in naked mole-rat colonies. Science 212(4494), 571–573 (1981)
Jarvis, J.U.M., Bennett, N.C.: Eusociality has evolved independently in two genera of bathyergid mole-rats but occurs in no other subterranean mammal. Behav. Ecol. Sociobiol. 33(4), 253–360 (1993)
Jones, J.D.: Towards lateral inhibition and collective perception in unorganised non-neural systems. In: Pancerz, K., Zaitseva, E. (eds.) Computational Intelligence, Medicine and Biology. SCI, vol. 600, pp. 103–122. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-16844-9_6
Kearns, D.B.: A field guide to bacterial swarming motility. Nat. Rev. Microbiol. 8(9), 634–644 (2010)
Krützen, M., Mann, J., Heithaus, M.R., Connor, R.C., Bejder, L., Sherwin, W.B.: Cultural transmission of tool use in bottlenose dolphins. PNAS 102(25), 8939–8943 (2005)
Michener, C.D.: Comparative social behavior of bees. Annu. Rev. Entomol. 14, 299–342 (1969)
Nalyanya, G., Moore, C.B., Schal, C.: Integration of repellents, attractants, and insecticides in a “push-pull” strategy for managing German cockroach (Dictyoptera: Blattellidae) populations. J. Med. Entomol. 37(3), 427–434 (2000)
Olson, R.S., Hintze, A., Dyer, F.C., Knoester, D.B., Adami, C.: Predator confusion is sufficient to evolve swarming behaviour. J. R. Soc. Interface 10(85), 20130305 (2013)
Parsons, T.: Social Systems and The Evolution of Action Theory. The Free Press, New York (1975)
Riesenhuber, M., Poggio, T.: Neural mechanisms of object recognition. Curr. Opin. Neurobiol. 12(2), 162–168 (2002)
Sakiyama, T., Gunji, Y.-P.: The Müller-Lyer illusion in ant foraging. In: Hemmi, J.M. (ed.) PLoS ONE, vol. 8, no. 12, p. e81714 (2013)
Schadschneider, A., Klingsch, W., Klpfel, H., Kretz, T., Rogsch, C., Seyfried, A.: Evacuation dynamics: empirical results, modeling and applications. In: Meyers, R.A. (ed.) Encyclopedia of Complexity and Systems Science, pp. 3142–3176. Springer, Berlin (2009). https://doi.org/10.1007/978-0-387-30440-3_187
Schumann, A.: On two squares of opposition: the Leniewski’s style formalization of synthetic propositions. Acta Analytica 28, 71–93 (2013)
Schumann, A.: From swarm simulations to swarm intelligence. In: 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). ACM (2015)
Schumann, A., Pancerz, K., Szelc, A.: The swarm computing approach to business intelligence. Studia Humana 4(3), 41–50 (2015)
Schumann, A., Akimova, L.: Syllogistic system for the propagation of parasites. The Case of Schistosomatidae (Trematoda: Digenea). Stud. Log. Gramm. Rhetor. 40(1), 303–319 (2015)
Schumann, A.: Syllogistic versions of go games on physarum. In: Adamatzky, A. (ed.) Advances in Physarum Machines. ECC, vol. 21, pp. 651–685. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-26662-6_30
Schumann, A., Woleński, J.: Two squares of oppositions and their applications in pairwise comparisons analysis. Fundamenta Informaticae 144(3–4), 241–254 (2016)
Schumann, A., Fris, V.: Swarm intelligence among humans – the case of alcoholics. In: Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSIGNALS, (BIOSTEC 2017), vol. 4. SCITEPRESS (2017)
Skinner, B.F.: About Behaviorism. Random House, Inc., New York (1976)
Tani, I., Yamachiyo, M., Shirakawa, T., Gunji, Y.-P.: Kanizsa illusory contours appearing in the plasmodium pattern of Physarum polycephalum. Front. Cellular Infect. Microbiol. 4(10), 1–11 (2014)
Tsang, N., Macnab, R., Koshland, D.E.: Common mechanism for repellents and attractants in bacterial chemotaxis. Science 181(4094), 60–63 (1973)
Viscido, S., Parrish, J., Grunbaum, D.: Individual behavior and emergent properties of fish schools: a comparison of observation and theory. Mar. Ecol. Prog. Ser. 273, 239–249 (2004)
Whiten, A., Goodall, J., McGrew, W.C., Nishida, T., Reynolds, V., Sugiyama, Y., Tutin, C.E., Wrangham, R.W., Boesch, C.: Cultures in chimpanzees. Nature 399(6737), 682–685 (1999)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-94806-5_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94805-8
Online ISBN: 978-3-319-94806-5
eBook Packages: Computer ScienceComputer Science (R0)