https://www.sciencedirect.com/science/article/pii/S0079610723001128 JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. [1720220477] Skip to main content Skip to article Elsevier logo * Journals & Books * Help * Search My account Sign in * View PDF * Download full issue Search ScienceDirect[ ] Elsevier Progress in Biophysics and Molecular Biology Volume 190, August 2024, Pages 28-169 Progress in Biophysics and Molecular Biology A landscape of consciousness: Toward a taxonomy of explanations and implications Author links open overlay panelRobert Lawrence Kuhn Show more Share Cite https://doi.org/10.1016/j.pbiomolbio.2023.12.003Get rights and content Under a Creative Commons license open access Abstract Diverse explanations or theories of consciousness are arrayed on a roughly physicalist-to-nonphysicalist landscape of essences and mechanisms. Categories: Materialism Theories (philosophical, neurobiological, electromagnetic field, computational and informational, homeostatic and affective, embodied and enactive, relational, representational, language, phylogenetic evolution); Non-Reductive Physicalism; Quantum Theories; Integrated Information Theory; Panpsychisms; Monisms; Dualisms; Idealisms; Anomalous and Altered States Theories; Challenge Theories. There are many subcategories, especially for Materialism Theories. Each explanation is self-described by its adherents, critique is minimal and only for clarification, and there is no attempt to adjudicate among theories. The implications of consciousness explanations or theories are assessed with respect to four questions: meaning/purpose/value (if any); AI consciousness; virtual immortality; and survival beyond death. A Landscape of Consciousness, I suggest, offers perspective. * Previous article in issue * Next article in issue Keywords Consciousness Mind-body problem Materialism Monism Dualism Idealism Recommended articles Cited by (0) (c) 2024 The Author(s). Published by Elsevier Ltd. Recommended articles No articles found. Article Metrics View article metrics Elsevier logo with wordmark * About ScienceDirect * Remote access * Shopping cart * Advertise * Contact and support * Terms and conditions * Privacy policy Cookies are used by this site. Cookie Settings All content on this site: Copyright (c) 2024 Elsevier B.V., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the Creative Commons licensing terms apply. RELX group home page