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Bio-Hybrid Systems for Ecosystem Level Effects

Authors :
Alexandre Campo
David Dormagen
Daniel Nicolas Hofstadler
Martin Stefanec
Robert T. E. Mills
Aleksejs Zacepins
Rafael Barmak
Matthieu Broisin
Jutta Vollmann
Asya Ilgün
Vitalijs Komasilovs
Francesco Mondada
Erol Bairaktarov
Martina Szopek
Sarah Schönwetter-Fuchs
Heinrich Mellmann
Thomas Schmickl
Ronald Thenius
Armands Kviesis
Sergey Petrov
Jean-Louis Deneubourg
Kostadin Angelov
Tim Landgraf
Matthias A. Becher
Verena V. Hafner
Martin H. Kärcher
Stamatios C. Nicolis
Volha Taliaronak
Valerin Stokanic
Source :
The 2021 Conference on Artificial Life
Publication Year :
2021
Publisher :
Zenodo, 2021.

Abstract

In a time marked by ecological decay and by the perspective of a severe backlash of this ecosystem decay and climate devastation onto human society, bold moves that employ novel technology to counteract this decline are required. We present a novel concept of employing Artificial Life technology, in the form of cybernetically enhanced bio-hybrid superorganisms as a countermeasure and as a contingency plan. We describe our general conceptual paradigm, consisting of three interacting action plans, namely: (1) Organismic Augmentation; (2) Bio-Hybrid Socialization and (3) Ecosystem Hacking, which together compose a method to create a novel agent for ecosystem stabilization. We demonstrate, through early results from the research project HIVEOPOLIS, a specific way how classic Artificial Life technologies can create such a living, ecologically active and technologically-augmented superorganism that operates outside in the field. These technologies range from cellular automata and biomimetic robots to novel and sustainable biocompatible materials. Aiming at having a real-world impact on the society that relies on our biosphere is an important aspect in Artificial Life research and is fundamental to our methodology to create a physically embodied and useful form of Artificial Life.

Details

Database :
OpenAIRE
Journal :
The 2021 Conference on Artificial Life
Accession number :
edsair.doi.dedup.....d5ed76c0033c467379f50a72ed21cef5