Preliminaries to artificial consciousness: a multidimensional heuristic approach

Fuente: arXiv
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Main Authors: Evers, K., Farisco, M., Chatila, R., Earp, B. D., Freire, I. T., Hamker, F., Nemeth, E., Verschure, P. F. M. J., Khamassi, M.
Format: Preprint
Published: 2024
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author Evers, K.
Farisco, M.
Chatila, R.
Earp, B. D.
Freire, I. T.
Hamker, F.
Nemeth, E.
Verschure, P. F. M. J.
Khamassi, M.
author_facet Evers, K.
Farisco, M.
Chatila, R.
Earp, B. D.
Freire, I. T.
Hamker, F.
Nemeth, E.
Verschure, P. F. M. J.
Khamassi, M.
contents The pursuit of artificial consciousness requires conceptual clarity to navigate its theoretical and empirical challenges. This paper introduces a composite, multilevel, and multidimensional model of consciousness as a heuristic framework to guide research in this field. Consciousness is treated as a complex phenomenon, with distinct constituents and dimensions that can be operationalized for study and for evaluating their replication. We argue that this model provides a balanced approach to artificial consciousness research by avoiding binary thinking (e.g., conscious vs. non-conscious) and offering a structured basis for testable hypotheses. To illustrate its utility, we focus on "awareness" as a case study, demonstrating how specific dimensions of consciousness can be pragmatically analyzed and targeted for potential artificial instantiation. By breaking down the conceptual intricacies of consciousness and aligning them with practical research goals, this paper lays the groundwork for a robust strategy to advance the scientific and technical understanding of artificial consciousness.
format Preprint
id arxiv_https___arxiv_org_abs_2403_20177
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Preliminaries to artificial consciousness: a multidimensional heuristic approach
Evers, K.
Farisco, M.
Chatila, R.
Earp, B. D.
Freire, I. T.
Hamker, F.
Nemeth, E.
Verschure, P. F. M. J.
Khamassi, M.
Artificial Intelligence
Robotics
Neurons and Cognition
The pursuit of artificial consciousness requires conceptual clarity to navigate its theoretical and empirical challenges. This paper introduces a composite, multilevel, and multidimensional model of consciousness as a heuristic framework to guide research in this field. Consciousness is treated as a complex phenomenon, with distinct constituents and dimensions that can be operationalized for study and for evaluating their replication. We argue that this model provides a balanced approach to artificial consciousness research by avoiding binary thinking (e.g., conscious vs. non-conscious) and offering a structured basis for testable hypotheses. To illustrate its utility, we focus on "awareness" as a case study, demonstrating how specific dimensions of consciousness can be pragmatically analyzed and targeted for potential artificial instantiation. By breaking down the conceptual intricacies of consciousness and aligning them with practical research goals, this paper lays the groundwork for a robust strategy to advance the scientific and technical understanding of artificial consciousness.
title Preliminaries to artificial consciousness: a multidimensional heuristic approach
topic Artificial Intelligence
Robotics
Neurons and Cognition
url https://arxiv.org/abs/2403.20177