Sustainability under Active Inference

Author:

Albarracin Mahault1,Ramstead Maxwell2,Pitliya Riddhi J.3,Hipolito Ines4,Da Costa Lancelot5,Raffa Maria6ORCID,Constant Axel7,Manski Sarah Grace8

Affiliation:

1. Departement d’Informatique, Université du Québec à Montréal, Montréal, QC H3T 1N8, Canada

2. Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK

3. Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK

4. Department of Philosophy, Macquarie University, Sydney, NSW 2109, Australia

5. Department of Mathematics, Imperial College London, London SW7 2AZ, UK

6. Department of Business, Law, Economics and Consumption, IULM University, 20143 Milan, Italy

7. Department of Informatics, University of Sussex, Brighton BN1 9RH, UK

8. Spatial Web Foundation, Los Angeles, CA 89114, USA

Abstract

In this paper, we explore the known connection among sustainability, resilience, and well-being within the framework of active inference. Initially, we revisit how the notions of well-being and resilience intersect within active inference before defining sustainability. We adopt a holistic concept of sustainability denoting the enduring capacity to meet needs over time without depleting crucial resources. It extends beyond material wealth to encompass community networks, labor, and knowledge. Using the free energy principle, we can emphasize the role of fostering resource renewal, harmonious system–entity exchanges, and practices that encourage self-organization and resilience as pathways to achieving sustainability both as an agent and as a part of a collective. We start by connecting active inference with well-being, building on existing work. We then attempt to link resilience with sustainability, asserting that resilience alone is insufficient for sustainable outcomes. While crucial for absorbing shocks and stresses, resilience must be intrinsically linked with sustainability to ensure that adaptive capacities do not merely perpetuate existing vulnerabilities. Rather, it should facilitate transformative processes that address the root causes of unsustainability. Sustainability, therefore, must manifest across extended timescales and all system strata, from individual components to the broader system, to uphold ecological integrity, economic stability, and social well-being. We explain how sustainability manifests at the level of an agent and then at the level of collectives and systems. To model and quantify the interdependencies between resources and their impact on overall system sustainability, we introduce the application of network theory and dynamical systems theory. We emphasize the optimization of precision or learning rates through the active inference framework, advocating for an approach that fosters the elastic and plastic resilience necessary for long-term sustainability and abundance.

Funder

VERSES AI

Publisher

MDPI AG

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