Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms

Fuente: arXiv
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Main Author: Williams, Ryan
Format: Preprint
Published: 2024
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author Williams, Ryan
author_facet Williams, Ryan
contents Computational modeling is a critical tool for understanding consciousness, but is it enough on its own? This paper discusses the necessity for an ontological basis of consciousness, and introduces a formal framework for grounding computational descriptions into an ontological substrate. Utilizing this technique, a method is demonstrated for estimating the difference in qualitative experience between two systems. This framework has wide applicability to computational theories of consciousness.
format Preprint
id arxiv_https___arxiv_org_abs_2409_16036
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms
Williams, Ryan
Neurons and Cognition
Artificial Intelligence
Computational modeling is a critical tool for understanding consciousness, but is it enough on its own? This paper discusses the necessity for an ontological basis of consciousness, and introduces a formal framework for grounding computational descriptions into an ontological substrate. Utilizing this technique, a method is demonstrated for estimating the difference in qualitative experience between two systems. This framework has wide applicability to computational theories of consciousness.
title Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms
topic Neurons and Cognition
Artificial Intelligence
url https://arxiv.org/abs/2409.16036