Article
Version 3
Preserved in Portico This version is not peer-reviewed
Rethinking Human and Machine Intelligence through Kant’s Incongruent Counterparts
Version 1
: Received: 13 October 2023 / Approved: 13 October 2023 / Online: 13 October 2023 (11:37:25 CEST)
Version 2 : Received: 26 October 2023 / Approved: 26 October 2023 / Online: 26 October 2023 (11:30:49 CEST)
Version 3 : Received: 5 December 2023 / Approved: 6 December 2023 / Online: 6 December 2023 (09:20:28 CET)
Version 4 : Received: 4 July 2024 / Approved: 4 July 2024 / Online: 5 July 2024 (02:49:50 CEST)
Version 2 : Received: 26 October 2023 / Approved: 26 October 2023 / Online: 26 October 2023 (11:30:49 CEST)
Version 3 : Received: 5 December 2023 / Approved: 6 December 2023 / Online: 6 December 2023 (09:20:28 CET)
Version 4 : Received: 4 July 2024 / Approved: 4 July 2024 / Online: 5 July 2024 (02:49:50 CEST)
A peer-reviewed article of this Preprint also exists.
Jeong, L. J. Rethinking Human and Machine Intelligence through Kant, Wittgenstein, Gödel, and Cantor. Jeong, L. J. Rethinking Human and Machine Intelligence through Kant, Wittgenstein, Gödel, and Cantor.
Abstract
This paper proposes a metaphysical framework for distinguishing between human and machine intelligence. By drawing an analogy from Kant’s incongruent counterparts, it posits two identical deterministic worlds -- one comprising a human agent and the other comprising a machine agent. These agents exhibit different types of information processing mechanisms despite their apparent sameness in a causal sense. By postulating the distinctiveness of human over machine intelligence, this paper resolves what it refers to as “the vantage point problem” – namely, how to legitimize a determinist’s assertion of determinism by placing the determinist within the universe.
Keywords
determinism; incongruent counterparts; simulation; state description; counterfactuals
Subject
Arts and Humanities, Philosophy
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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