The morphospace of consciousness: three kinds of complexity for minds and machines
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- dc.contributor.author Arsiwalla, Xerxes D.
- dc.contributor.author Solé Vicente, Ricard, 1962-
- dc.contributor.author Moulin-Frier, Clément
- dc.contributor.author Herreros, Ivan
- dc.contributor.author Sánchez-Fibla, Martí
- dc.contributor.author Verschure, Paul F. M. J.
- dc.date.accessioned 2024-06-25T06:04:45Z
- dc.date.available 2024-06-25T06:04:45Z
- dc.date.issued 2023
- dc.description.abstract In this perspective article, we show that a morphospace, based on information-theoretic measures, can be a useful construct for comparing biological agents with artificial intelligence (AI) systems. The axes of this space label three kinds of complexity: (i) autonomic, (ii) computational and (iii) social complexity. On this space, we map biological agents such as bacteria, bees, C. elegans, primates and humans; as well as AI technologies such as deep neural networks, multi-agent bots, social robots, Siri and Watson. A complexity-based conceptualization provides a useful framework for identifying defining features and classes of conscious and intelligent systems. Starting with cognitive and clinical metrics of consciousness that assess awareness and wakefulness, we ask how AI and synthetically engineered life-forms would measure on homologous metrics. We argue that awareness and wakefulness stem from computational and autonomic complexity. Furthermore, tapping insights from cognitive robotics, we examine the functional role of consciousness in the context of evolutionary games. This points to a third kind of complexity for describing consciousness, namely, social complexity. Based on these metrics, our morphospace suggests the possibility of additional types of consciousness other than biological; namely, synthetic, group-based and simulated. This space provides a common conceptual framework for comparing traits and highlighting design principles of minds and machines.
- dc.description.sponsorship This research was funded by the European Research Council’s CDAC project: “The Role of Consciousness in Adaptive Behavior: A Combined Empirical, Computational and Robot based Approach” (ERC-2013- ADG 341196).
- dc.format.mimetype application/pdf
- dc.identifier.citation Arsiwalla XD, Solé R, Moulin-Frier C, Herreros I, Sánchez-Fibla M, Verschure PFMJ. The morphospace of consciousness: three kinds of complexity for minds and machines. NeuroSci. 2023 Mar 27;4(2):79-102. DOI: 10.3390/neurosci4020009
- dc.identifier.doi http://dx.doi.org/10.3390/neurosci4020009
- dc.identifier.issn 2673-4087
- dc.identifier.uri http://hdl.handle.net/10230/60561
- dc.language.iso eng
- dc.publisher MDPI
- dc.relation.ispartof NeuroSci. 2023 Mar 27;4(2):79-102
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/341196
- dc.rights © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Consciousness
- dc.subject.keyword Brain networks
- dc.subject.keyword Artificial intelligence
- dc.subject.keyword Synthetic biology
- dc.subject.keyword Cognitive robotics
- dc.subject.keyword Complex systems
- dc.title The morphospace of consciousness: three kinds of complexity for minds and machines
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion