Normativity and the Intelligent Matter Framework

In Michael te Vrugt (ed.), Artificial Intelligence and Intelligent Matter. Springer Nature (forthcoming)
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Abstract

An emerging field operating at the intersection of artificial intelligence, materials science, physical chemistry, and nanotechnology targets the creation of intelligent matter. However, despite demonstration of a range of interesting behaviours in molecular systems and soft materials, the goal of producing truly intelligent matter remains elusive. To aid the research effort, Kaspar and colleagues have elaborated a theoretical framework which purports to guide and evaluate progress towards the goal. In this paper, I address foundational conceptual issues with this intelligent matter framework. In particular, I argue that the absence of a normative criterion by which to assess the behaviour of proto-intelligent material systems prevents the framework from adequately serving its guiding and evaluative functions. Without a clear specification of what kinds of behaviours count as intelligent in the first place, researchers are unlikely to develop material systems that exhibit them. I propose to augment the IMF with a normative criterion requiring that purportedly intelligent systems implement concrete behaviours which contribute towards higher-order goals in virtue of the coordinated activity of their functional elements.

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2025-01-13

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Barnaby Crook
Universität Bayreuth

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