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Complexity and particularity: an argument for the impossibility of artificial intelligence

Martinelli, Emanuele (2024). Complexity and particularity: an argument for the impossibility of artificial intelligence. Cosmos + Taxis, 12(5+6):42-57.

Abstract

Landgrebe and Smith (2022) have recently offered an important mathematical argument against the possibility of Artificial General Intelligence (AGI): human intelligence is a complex system; complex systems have some properties that cannot be modelled mathematically; hence we have no viable way to build an AI that would be able to emulate human intelligence. The issue of complexity is thus at the heart of the Landgrebe and Smith approach, and they tackle this issue by postulating a set of conditions, derived
from mathematics, for a system to be complex. I argue that Hayek’s “Theory of Complex Phenomena” offers an interesting alternative path to understanding what makes complex systems complex. This offers an argument complementary to that of Landgrebe and Smith, which approaches the issue of complexity from an ontological angle, and which is designed to show that AI systems are not the right kind of entity that may interact meaningfully with complex systems.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:01 Faculty of Theology and the Study of Religion > Center for Ethics
06 Faculty of Arts > Institute of Philosophy
Dewey Decimal Classification:700 Arts
Uncontrolled Keywords:Artificial intelligence, AGI, Complexity, Agency, Particularity
Language:English
Date:27 May 2024
Deposited On:13 Aug 2024 07:15
Last Modified:13 Aug 2024 07:15
Publisher:WordPress.com
ISSN:2291-5079
OA Status:Gold
Official URL:https://cosmosandtaxis.org/wp-content/uploads/2024/05/martinelli_ct_vol12_iss5_6.pdf
Related URLs:https://cosmosandtaxis.org/ct-1256/ (Publisher)
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