Requisite Social Influence in Self-Regulated Systems

Asimina Mertzani, Jeremy Pitt

2024

Abstract

This paper specifies, implements and experiments with a new psychologically-inspired 4voices algorithm to be used by the units of a self-regulated system, whereby each unit learns to identify which of several “voices” to pay attention to, depending on a collective desired outcome (e.g., establishing the ground truth, a community truth, or their own “truth”). In addition, a regulator uses a standard Q-learning algorithm to pay attention to the regulated units and respond accordingly. The algorithm is applied to a problem of continuous policy-based monitoring and control, and simulation experiments determine which initial conditions produce systemic stability and what kind of “truth” is expressed by the regulated units. We conclude that this synthesis of Q-learning in the regulator and 4voices in the regulated system establishes requisite social influence . This maintains quasi-stability (i.e. periodic stability) and points the way towards ethical regulators.

Paper Citation

in Harvard Style

Mertzani A. and Pitt J. (2024). Requisite Social Influence in Self-Regulated Systems. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 133-140. DOI: 10.5220/0012310500003636

in Bibtex Style

@conference{icaart24,
author={Asimina Mertzani and Jeremy Pitt},
title={Requisite Social Influence in Self-Regulated Systems},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={133-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012310500003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Requisite Social Influence in Self-Regulated Systems
SN - 978-989-758-680-4
AU - Mertzani A.
AU - Pitt J.
PY - 2024
SP - 133
EP - 140
DO - 10.5220/0012310500003636
PB - SciTePress