The relationships between intelligence and consciousness in natural and artificial systems

Gamez, David ORCID logoORCID: https://orcid.org/0000-0002-3075-655X (2020) The relationships between intelligence and consciousness in natural and artificial systems. Journal of Artificial Intelligence and Consciousness, 7 (1) . pp. 51-62. ISSN 2705-0785 [Article] (doi:10.1142/S2705078520300017)

[img]
Preview
PDF - Final accepted version (with author's formatting)
Download (195kB) | Preview

Abstract

This paper explores some of the potential connections between natural and artificial intelligence and natural and artificial consciousness. In humans we use batteries of tests to indirectly measure intelligence. This approach breaks down when we try to apply it to radically different animals and to the many varieties of artificial intelligence. To address this issue people are starting to develop algorithms that can measure intelligence in any type of system. Progress is also being made in the scientific study of consciousness: we can neutralize the philosophical problems, we have data about the neural correlates and we have some idea about how we can develop mathematical theories that can map between physical and conscious states. While intelligence is a purely functional property of a system, there are good reasons for thinking that consciousness is linked to particular spatiotemporal patterns in specific physical materials. This paper outlines some of the weak inferences that can be made about the relationships between intelligence and consciousness in natural and artificial systems. To make real scientific progress we need to develop practical universal measures of intelligence and mathematical theories of consciousness that can reliably map between physical and conscious states.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 30385
Notes on copyright: Electronic version of an article published as Journal of Artificial Intelligence and Consciousness, Vol. 07, No. 01, pp. 51-62 DOI: 10.1142/S2705078520300017 © copyright World Scientific Publishing Company. Journal URL: https://www.worldscientific.com/worldscinet/jaic
Useful Links:
Depositing User: David Gamez
Date Deposited: 16 Jun 2020 08:07
Last Modified: 29 Nov 2022 18:29
URI: https://eprints.mdx.ac.uk/id/eprint/30385

Actions (login required)

View Item View Item

Statistics

Activity Overview
6 month trend
202Downloads
6 month trend
109Hits

Additional statistics are available via IRStats2.