Computational Dualism and Objective Superintelligence

Michael Timothy Bennett*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The concept of intelligent software is flawed. The behaviour of software is determined by the hardware that “interprets” it. This undermines claims regarding the behaviour of theorised, software superintelligence. Here we characterise this problem as “computational dualism”, where instead of mental and physical substance, we have software and hardware. We argue that to make objective claims regarding performance we must avoid computational dualism. We propose a pancomputational alternative wherein every aspect of the environment is a relation between irreducible states. We formalise systems as behaviour (inputs and outputs), and cognition as embodied, embedded, extended and enactive. The result is cognition formalised as a part of the environment, rather than as a disembodied policy interacting with the environment through an interpreter. This allows us to make objective claims regarding intelligence, which we argue is the ability to “generalise”, identify causes and adapt. We then establish objective upper bounds for intelligent behaviour. This suggests AGI will be safer, but more limited, than theorised.

Original languageEnglish
Title of host publicationArtificial General Intelligence - 17th International Conference, AGI 2024, Proceedings
EditorsKristinn R. Thórisson, Arash Sheikhlar, Peter Isaev
PublisherSpringer Science and Business Media Deutschland GmbH
Pages22-32
Number of pages11
ISBN (Print)9783031655715
DOIs
Publication statusPublished - 2024
Event17th International Conference on Artificial General Intelligence, AGI 2024 - SEATTLE, United States
Duration: 12 Aug 202415 Aug 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14951 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Artificial General Intelligence, AGI 2024
Country/TerritoryUnited States
CitySEATTLE
Period12/08/2415/08/24

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