Adra, S. orcid.org/0000-0002-0187-2607 (2025) Making decisions when outcomes are irreducible: shackle's imagination and virtual reality. Metroeconomica, 76 (2). pp. 372-381. ISSN 0026-1386
Abstract
This paper addresses the challenge of navigating irreducible outcomes, where predicting future patterns proves futile despite understanding the underlying rules. It advocates for G.L.S. Shackle's imagination-focused decision approach as a partial solution. Integrating the concept of the extended mind, I argue that modern technological advances such as Virtual Reality (VR) further enhance Shackle's approach, rather than compromising its subjective nature. In light of the challenges in applying reductivist tools to the outcomes of VR, I propose Shackle's framework as a promising framework for integrating such outcomes into decision-making processes. Via this framework, decision-makers capitalize on large` gains and hedge against large losses, despite not fully overcoming irreducibility.
Metadata
Item Type: | Article |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Metroeconomica is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | computational irreducibility; decision theory; extended mind; Shackle; virtual reality |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Nov 2024 09:47 |
Last Modified: | 09 Apr 2025 14:55 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/meca.12488 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:220037 |