Beyond goal-rationality:Traditional action can reduce volatility in socially situated agents

Abstract

Systems that pursue their own goals in shared environments can indirectly affect one another in unanticipated ways, such that the actions of other systems can interfere with goal-achievement. As humans have evolved to achieve goals despite interference from others in society, we thus endow socially situated agents with the capacity for social action as a means of mitigating interference in co-existing systems. We demonstrate that behavioural and evolutionary volatility caused by indirect interactions of goal-rational agents can be reduced by designing agents in a more socially-sensitive manner. We therefore challenge the assumption that designers of intelligent systems typically make, that goal-rationality is sufficient for achieving goals in shared environments.

Publication DOI: https://doi.org/10.1016/j.future.2020.07.033
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
College of Engineering & Physical Sciences
Additional Information: © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Interference,Neuroevolution,Social action,Socio-technical systems,Software,Hardware and Architecture,Computer Networks and Communications
Publication ISSN: 1872-7115
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 4714?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2020-12-01
Published Online Date: 2020-07-17
Accepted Date: 2020-07-13
Authors: Barnes, Chloe M.
Ekárt, Anikó (ORCID Profile 0000-0001-6967-5397)
Lewis, Peter R. (ORCID Profile 0000-0003-4271-8611)

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