Extrapolating Other Consciousnesses: The Prospects and Limits of Analogical Abduction
Philosophy of Science August 27, 2025 DOI: 10.1017/psa.2025.10104 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Citations | 4 |
| Key points | Argues that analogical abduction is the strongest method for extrapolating consciousness from humans to nonstandard systems, while individual arguments from analogy and inference to the best explanation are insufficient. |
Abstract
Abstract Advances in animal sentience research, neural organoids, and artificial intelligence reinforce the relevance of justifying attributions of consciousness to nonstandard systems. Clarifying the argumentative structure behind these attributions is important for evaluating their validity. This article addresses this issue, concluding that analogical abduction—a form of reasoning combining analogical and abductive elements—is the strongest method for extrapolating consciousness from humans to nonstandard systems. We argue that the argument from analogy and inference to the best explanation, individually taken, do not meet the criteria for successful extrapolations, whereas analogical abduction offers a promising approach despite limitations in current consciousness science.
Citations in the library
Cited by 5
- Kinds Without Structure Are Blind; Structure Without Kinds Is Empty: Remarks on the Methodology of Consciousness Science Journal for General Philosophy of Science March 14, 2026
- Is the Problem of Artificial Consciousness a Scientific Problem? Journal of Consciousness Studies August 1, 2026
- Explanation, scope, and perspective: sources of schismogenesis in consciousness science. Trends in Cognitive Sciences April 7, 2026
- Bootstrapping and Its Discontents in Consciousness Science Review of Philosophy and Psychology March 1, 2026
- Beyond computational equivalence: the behavioral inference principle for machine consciousness. Neuroscience of Consciousness 2026
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