Article
Version 4
This version is not peer-reviewed
Rethinking Human and Machine Intelligence under Determinism
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)
How to cite: Lee, J. J. Rethinking Human and Machine Intelligence under Determinism. Preprints 2023, 2023100876. https://doi.org/10.20944/preprints202310.0876.v4 Lee, J. J. Rethinking Human and Machine Intelligence under Determinism. Preprints 2023, 2023100876. https://doi.org/10.20944/preprints202310.0876.v4
Abstract
This paper proposes a metaphysical framework for distinguishing between human and machine intelligence. It posits two identical deterministic worlds -- one comprising a human agent and the other a machine agent. These agents exhibit different information processing mechanisms despite their apparent sameness in a causal sense. Providing a conceptual modeling of their difference, this paper resolves what it calls “the vantage point problem” – namely, how to justify an omniscient perspective through which a determinist asserts determinism from within the supposedly deterministic universe.
Keywords
Keywords: determinism; simulation; eternalism; counterfactuals; pancomputationalism
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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