An argument for the impossibility of machine intelligence (preprint)

Arxiv (2021)
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Abstract

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are too weak even to capture what is involved when we ascribe intelligence to an insect. We then summarise the highly useful definition of basic (arthropod) intelligence proposed by Rodney Brooks, and we identify the properties that an AI agent would need to possess in order to be the bearer of intelligence by this definition. Finally, we show that, from the perspective of the disciplines needed to create such an agent, namely mathematics and physics, these properties are realisable by neither implicit nor explicit mathematical design nor by setting up an environment in which an AI could evolve spontaneously.

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Author Profiles

Jobst Landgrebe
State University of New York (SUNY)
Barry Smith
University at Buffalo

Citations of this work

Certifiable AI.Jobst Landgrebe - 2022 - Applied Sciences 12 (3):1050.

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References found in this work

The singularity: A philosophical analysis.David J. Chalmers - 2010 - Journal of Consciousness Studies 17 (9-10):9 - 10.
Intelligence without representation.Rodney A. Brooks - 1991 - Artificial Intelligence 47 (1--3):139-159.
Making AI Meaningful Again.Jobst Landgrebe & Barry Smith - 2021 - Synthese 198 (March):2061-2081.
Contemporary Approaches to Artificial General Intelligence.Cassio Pennachin & Ben Goertzel - 2007 - In Ben Goertzel & Cassio Pennachin (eds.), Artificial General Intelligence. Springer Verlag. pp. 1-30.

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