Swarm intelligence and artificial networks of actin filaments

Authors

  • Andrew N. Schumann University of Information Technology and Management, Suharskaga Street, 2, 35-225, Rzeszow, Poland

Keywords:

swarm intelligence, actin filaments, swarm behaviour, social behaviour

Abstract

In the paper we consider an artificial network of actin filaments as a computational medium from the point of view of computer science. This network is a main factor in keeping the cell shape and in the cell motility. The matter is that the actin filament network is responsible for the cell deformation, e. g. for the cell division into two cells, for growing pseudopodia for feeding. Meanwhile, actin filaments assemble and disassemble in course of time. As a consequence, we face the permanent appearing and disappearing filaments. This network possesses algorithms which are realizable in any swarm behaviour. Its examples are as follows: insect swarm, bird flock, horse herd, fish school. From the standpoint of behaviourism, this behaviour is social. However, from the standpoint of symbolic interactionism, it is not. In the paper there are given examples of swarm (non-social collective) behaviour of human beings.

Author Biography

  • Andrew N. Schumann, University of Information Technology and Management, Suharskaga Street, 2, 35-225, Rzeszow, Poland

    PhD (philosophy), docent; head of the department of cognitive science

References

  1. Schumann A. Toward a Computational Model of Actin Filament Networks. Proc. of the 9th Int. Joint Conf. on Biomed. Eng. Syst. and Technol. 2016. Vol. 4. Р. 290–297.
  2. Adamatzky A., Erokhin V., Grube M., et al. Physarum Chip Project: Growing Computers From Slime Mould. Int. J. Unconv. Comput. 2012. Vol. 8, No. 4. Р. 319–323.
  3. Costerton J. W., Lewandowski Z., Caldwell D. E., et al. Microbial biofilms. Annu. Rev. Microbiol. 1995. Vol. 49. Р. 711–745.
  4. D’Ettorre P., Heinze J. Sociobiology of slave-making ants. Acta Ethol. 2001. Vol. 3, issue 2. Р. 67–82. DOI: 10.1007/s102110100038.
  5. Duffy J. E. The ecology and evolution of eusociality in sponge-dwelling shrimp. In: T. Kikuchi (ed.). Sapporo Genes, Behavior, and Evolution in Social Insects. Japan, 2002. Р. 1–38.
  6. 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. 1993. Vol. 33, issue 4. Р. 253–260. DOI: 10.1007/BF02027122.
  7. Jacobs D. S., Bennett N. C., Jarvis I. U. M., et al. The colony structure and dominance hierarchy of the Damaraland mole-rat, Cryptomys damarensis (Rodentia: Bathyergidae) from Namibia. J. Zool. 1991. No. 224 (4). Р. 553–576. DOI: 10.1111/j.1469-7998.1991.tb03785.x.
  8. Helbing D., Keltsch J., Molnar P. Modelling the evolution of human trail systems. Nature. 1997. No. 388. Р. 47–50.
  9. John A., Schadschneider A., Chowdhury D., Nishinari K. Characteristics of ant-inspired traffic flow. Swarm Intell. 2008. Vol. 2, issue 1. Р. 25–41. DOI: 10.1007/s11721-008-0010-8.
  10. Schumann A. p-Adic valued logical calculi in simulations of the slime mould behavior. JANCL. 2015. No. 25 (2). Р. 125–139.
  11. Schumann A. Syllogistic Versions of Go Games on Physarum Polycephalum. In: A. Adamatzky (ed.). Advances in Physarum Machines. Emergence, Complexity and Computation. United Kingdom, 2016. Р. 651–685.
  12. Schumann A., Akimova L. Syllogistic System for the Propagation of Parasites. The Case of Schistosomatidae (Trematoda: Digenea). Stud. Log. Gramm. Rhetor. 2015. Vol. 40, issue 1. Р. 303–319.
  13. Jones J. D. Towards Lateral Inhibition and Collective Perception in Unorganised Non-Neural Systems. In: K. Pancerz, E. Zaitseva (eds). Computational Intelligence, Medicine and Biology. Berlin, 2015.
  14. Schumann A., Akimova L. Syllogistic System for the Propagation of Parasites. The Case of Schistosomatidae (Trematoda: Digenea). Stud. Log., Gramm. Rhetor. 2015. Vol. 40, issue 1. Р. 303–319.
  15. Schumann A., Woleński J. Two Squares of Oppositions and Their Applications in Pairwise Comparisons Analysis. Fund. Inform. 2016. Vol. 144, issue 3–4. Р. 241–254.
  16. Michener Ch. D. Comparative Social Behavior of Bees. Annu. Rev. Entomol. 1969. Vol. 14. Р. 299–342. DOI: 10.1146/annurev.en.14.010169.001503.
  17. Skinner B. F. About Behaviorism. N. Y., 1976.
  18. Parsons T. Social Systems and The Evolution of Action Theory. N. Y., 1975.
  19. Blumer H. Symbolic Interactionism. Perspective and method. Englewood Cliffs, 1969.
  20. Krützen M., Mann J., Heithaus M. R., et al. Cultural transmission of tool use in bottlenose dolphins. PNAS. 2005. Vol. 102, issue 25. Р. 8939–8943. DOI: 10.1073/pnas.0500232102.
  21. Whiten A., Goodall J., McGrew W. C., et al. Cultures in Chimpanzees. Nature. 1999. Vol. 399 (6737). Р. 682–685.
  22. Viscido S., Parrish J., Grunbaum D. Individual behavior and emergent properties of fish schools: a comparison of observation and theory. Mar. Ecol. Prog. Ser. 2004. No. 273. Р. 239–249.
  23. Helbing D., Keltsch J., Molnar P. Modelling the evolution of human trail systems. Nature. 1997. Vol. 388. Р. 47–50.
  24. Abrahams M., Colgan P. Risk of predation, hydrodynamic efficiency, and their influence on school structure. Env. Biol. Fishes. 1985. Vol. 13, issue 3. Р. 195–202.

Downloads

Published

2019-03-06

Issue

No. 2 (2017): Journal of the Belarusian State University. Sociology

Section

Articles and Reports

License

The authors who are published in this journal agree to the following:

  1. The authors retain copyright on the work and provide the journal with the right of first publication of the work on condition of license Creative Commons Attribution-NonCommercial. 4.0 International (CC BY-NC 4.0).
  2. The authors retain the right to enter into certain contractual agreements relating to the non-exclusive distribution of the published version of the work (e.g. post it on the institutional repository, publication in the book), with the reference to its original publication in this journal.
  3. The authors have the right to post their work on the Internet (e.g. on the institutional store or personal website) prior to and during the review process, conducted by the journal, as this may lead to a productive discussion and a large number of references to this work. (See The Effect of Open Access.)

How to Cite

[1]
Schumann, A.N. 2019. Swarm intelligence and artificial networks of actin filaments. Journal of the Belarusian State University. Sociology. 2 (Mar. 2019), 59–64.