Inproceedings
1.
Chloe M. Barnes; Lukas Esterle; John N. A. Brown
``When You Believe in Things That You Don't Understand Inproceedings
In: Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), pp. 28–31, IEEE, 2019.
Abstract | Links | BibTeX | Tags: Computational Superstition, Networked Self-Awareness, Runtime Systems Integration, Self-Awareness
@inproceedings{Barnes2019SISSY,
title = {``When You Believe in Things That You Don't Understand},
author = {Chloe M. Barnes and Lukas Esterle and John N. A. Brown},
url = {https://ieeexplore.ieee.org/abstract/document/8791979},
doi = {10.1109/FAS-W.2019.00020},
year = {2019},
date = {2019-06-16},
urldate = {2019-01-01},
booktitle = {Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)},
pages = {28--31},
publisher = {IEEE},
abstract = {Humans experiencing unexpected feedback to certain actions which they are not able to explain, might develop superstitious behaviour. In this paper, we discuss that similar behaviour might also occur in engineered systems. We provide a thought-experiment regarding such behaviour in computational systems. In this paper, we propose a first step towards improved runtime systems integration based on a the ability to become aware of previously-unknown others and their actions, as described in networked self-awareness.},
keywords = {Computational Superstition, Networked Self-Awareness, Runtime Systems Integration, Self-Awareness},
pubstate = {published},
tppubtype = {inproceedings}
}
Humans experiencing unexpected feedback to certain actions which they are not able to explain, might develop superstitious behaviour. In this paper, we discuss that similar behaviour might also occur in engineered systems. We provide a thought-experiment regarding such behaviour in computational systems. In this paper, we propose a first step towards improved runtime systems integration based on a the ability to become aware of previously-unknown others and their actions, as described in networked self-awareness.
