Conceptual Framework for Adaptive Safety in Autonomous Ecosystems

David Halasz, Barbora Buhnova

2023

Abstract

The dynamic collaboration among hyper-connected Autonomous Systems promotes their evolution towards Autonomous Ecosystems. In order to maintain the safety of such structures, it is essential to ensure that there is a certain level of understanding of the present and future behavior of individual systems in these ecosystems. Adaptive Safety is a promising direction to control access to features between cooperating systems. However, it requires information about its collaborators within the environment. Digital Twins could be used to predict possible future behavior of a system. This paper introduces a conceptual framework for Adaptive Safety that is being triggered based on the trust score computed from the predictive simulation of Digital Twins, which we suggest to use in Autonomous Ecosystems to load and safely execute third-party Smart Agents. By quantifying trust towards the agent and combining it with a decision tree, we leverage this as a deciding factor to conceal or expose certain features among collaborating systems.

Paper Citation

in Harvard Style

Halasz D. and Buhnova B. (2023). Conceptual Framework for Adaptive Safety in Autonomous Ecosystems. In Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-665-1, SciTePress, pages 393-403. DOI: 10.5220/0012086600003538

in Bibtex Style

@conference{icsoft23,
author={David Halasz and Barbora Buhnova},
title={Conceptual Framework for Adaptive Safety in Autonomous Ecosystems},
booktitle={Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2023},
pages={393-403},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012086600003538},
isbn={978-989-758-665-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Conceptual Framework for Adaptive Safety in Autonomous Ecosystems
SN - 978-989-758-665-1
AU - Halasz D.
AU - Buhnova B.
PY - 2023
SP - 393
EP - 403
DO - 10.5220/0012086600003538
PB - SciTePress