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9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Research Article

From Swarm Simulations to Swarm Intelligence

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.3-12-2015.2262484,
        author={Andrew Schumann},
        title={From Swarm Simulations to Swarm Intelligence},
        proceedings={9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)},
        publisher={ACM},
        proceedings_a={BICT},
        year={2016},
        month={5},
        keywords={swarm intelligence kolmogorov-uspensky machine p-adic valued logic},
        doi={10.4108/eai.3-12-2015.2262484}
    }
    
  • Andrew Schumann
    Year: 2016
    From Swarm Simulations to Swarm Intelligence
    BICT
    EAI
    DOI: 10.4108/eai.3-12-2015.2262484
Andrew Schumann1,*
  • 1: University of Information Technology and Management, Rzeszow, Poland
*Contact email: Andrew.Schumann@gmail.com

Abstract

In self-organizing systems such as collective intelligent behaviors of animal or insect groups: flocks of birds, colonies of ants, schools of fish, swarms of bees, etc. there are ever emergent patterns which cannot be reduced to a linear composition of elementary subsystems properly. This reduction is possible only due to many repellents and an artificial environment. The emergent patterns are studied in the so-called swarm intelligence. In this paper we show that any swarm can be represented as a conventional automaton such as Kolmogorov-Uspensky machine, but with a very low accuracy because of deleting emergent phenomena. Furthermore, we show as well that implementing some unconventional algorithms of p-adic arithmetic and logic are much more applicable than conventional automata. By using p-adic integers we can code different emergent patterns.

Keywords
swarm intelligence kolmogorov-uspensky machine p-adic valued logic
Published
2016-05-24
Publisher
ACM
http://dx.doi.org/10.4108/eai.3-12-2015.2262484
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