Selforganisational High Efficient Stable Chaos Patterns

Bernhard Heiden, Bernhard Heiden, Volodymyr Alieksieiev, Bianca Tonino-Heiden

Abstract

The aim of this paper is to provide a new solution for the problem of a simple application of swarm robots, and here the model and its simulation, which shall be later implemented in these Internet of Things (IoT) devices. For this reason this paper describes how, swarm robots, robot-multirobots, a series of entangled robots or robot-os, form predictable selforganisational room-time patterns, as a function of a binary sensor and a binary actor signal interaction, in a triangular cellular automata fashion. The influence of the outer border compared to the inner border of robot-os is investigated, to answer the question, whether and how they can be distinguished. So this process can then be regarded as a different level border-order-entity or as a ’solidification process’ of the robot-o. By means of this, the robot-o is itself ’recognising’, as an extended self, that is identified by the robot-o as the environment. Border as direction change of signal, hence, can be regarded as a basic selforganisational driving force. Above described sensor actor processes can be regarded as bidirectional ordering process, according to orgiton theory, a further development of the theory of selforganisation. Based on the Shannon information entropy, measuring this is methodically demonstrated. Application programs and respective patterns are given in Mathcad and Witness simulations in detail. These prepare for IoT robot-os applications, for future research applications, especially in the open source robot-os of Elmenreich et al., that our work refers to and builds upon.

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Paper Citation


in Harvard Style

Heiden B., Alieksieiev V. and Tonino-Heiden B. (2021). Selforganisational High Efficient Stable Chaos Patterns. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-504-3, pages 245-252. DOI: 10.5220/0010465502450252


in Bibtex Style

@conference{iotbds21,
author={Bernhard Heiden and Volodymyr Alieksieiev and Bianca Tonino-Heiden},
title={Selforganisational High Efficient Stable Chaos Patterns},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2021},
pages={245-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010465502450252},
isbn={978-989-758-504-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Selforganisational High Efficient Stable Chaos Patterns
SN - 978-989-758-504-3
AU - Heiden B.
AU - Alieksieiev V.
AU - Tonino-Heiden B.
PY - 2021
SP - 245
EP - 252
DO - 10.5220/0010465502450252