Construct · 6 fields · 14 citations

Where does hallucination collide?

One name. Different field. Different construct. One map.

● jingle · one name, six constructs Nearest construct by meaningperceptioncompare the meanings
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Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to hallucination is perception.

Hold this as a prompt, not a verdict. Two constructs sitting close in meaning is a reason to read them side by side and decide for yourself whether they are one idea under two names. It is not proof that they are. Compare the meanings in the Collider.

BORROWED, PERCEPT DROPPEDVOICES → PRIORShallucination6 CONSTRUCTSLanguage modelsINTRINSIC · EXTRINSICComputer visionSUPER-RES · WANTEDPhilosophyARGUMENT · DISJUNCTIVISMPharmacology5-HT2A · DOSEPsychiatryDSM-5 · VOICESNeurosciencePRIORS · PREDICTIVE

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2026

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Large language models

Hallucination as fluent output unsupported by source or fact

Generated text that is fluent and confident but unfaithful to the input or unsupported by any verifiable fact. Maynez and colleagues fixed the working split in 2020 for summarisation: intrinsic hallucination contradicts the source, extrinsic hallucination adds content the source never contained. Ji and colleagues' 2023 survey carried the split across every generation task, and Kalai and Vempala showed in 2024 that a model calibrated to its training distribution must fabricate some arbitrary facts at a rate tied to how many appear only once. Nothing is perceived here; a hallucination is a property of a string relative to a reference, and the same string is a hallucination or a correct answer depending on which reference you hold it against.[1][2][3]

Unit
A generated span, judged against a source document or a knowledge base
Recovery means
Grounding, retrieval, citation, or abstention that brings the output back under a source
Measured by
Human faithfulness annotation; entailment-based factuality scores; hallucination rate on question sets

Computer vision

Hallucination as invented detail a super-resolver is meant to add

Plausible high-frequency detail synthesised into an enlarged image from a learned prior, because the low-resolution input does not contain it. Baker and Kanade named the technique in 2002 after proving that reconstruction-based super-resolution hits a hard ceiling as the magnification grows; the only way past it is to recognise what the image is and hallucinate what such things look like. Wang and colleagues' 2014 survey of face hallucination treats it as a mature sub-field with its own benchmarks. This is the one field where hallucination is the deliverable: the output is judged good when its invented pixels look right, not when they are true.[4][5]

Unit
A high-resolution image synthesised from a low-resolution input
Recovery means
Not applicable, the missing detail is gone by construction, and the method fills it rather than recovers it
Measured by
PSNR and SSIM against a held-out ground truth; face recognition accuracy on the hallucinated output

Philosophy of perception

Hallucination as a test case for what perception is

An experience subjectively indistinguishable from seeing an object when no such object is present, used as a lever on the nature of perception. The argument from hallucination runs: if the hallucinatory experience is the same kind of state as the veridical one, then even ordinary seeing is not a direct relation to the world. Martin's 2004 disjunctivism refuses the first step, holding that a veridical perception and its matching hallucination share only the negative property of being indiscriminable from each other by the subject. Macpherson and Platchias's 2013 collection maps the positions. No philosopher here needs a patient; the hallucination is a thought experiment about kinds of mental state.[6][7]

Unit
A possible experience, compared with a veridical perception
Recovery means
Not applicable, the question is what the state is, not how it ends
Measured by
Not measured; argued from indiscriminability and from the metaphysics of perceptual states

Pharmacology

Hallucination as a drug effect with a receptor

Altered perception, thought, and mood produced by a classical psychedelic acting as an agonist at the serotonin 5-HT2A receptor. Nichols's 2016 review fixed the pharmacological definition: a compound belongs to the class if its effects are blocked by 5-HT2A antagonists and if it produces the characteristic visual distortions, altered sense of self, and intact insight that the person is drugged. Carhart-Harris and colleagues' 2014 entropic-brain account reads the same state as a loosening of high-level priors that increases the entropy of cortical activity. The defining feature is a molecule, a dose, and a time course; the experience is typically recognised as drug-induced while it happens, which separates it from the psychiatric meaning.[8][9]

Unit
A dose of a compound in a person, over hours
Recovery means
Return to baseline as the drug clears; insight usually preserved throughout
Measured by
Receptor occupancy and dose–response; standardised questionnaires of altered states administered after the session

Psychiatry

Hallucination as perception without an external stimulus

A perception-like experience with the clarity and impact of a true perception that occurs without an external stimulus and is not under voluntary control (the DSM-5 definition); the person usually experiences it as coming from outside. Aleman and Larøi's 2008 monograph fixed the modern research framing: hallucinations occur in every sensory modality, in healthy people as well as in illness, and vary along dimensions of vividness, conviction, and control. Waters and colleagues' 2012 review found that auditory hallucinations in schizophrenia and in nonclinical populations share cognitive mechanisms (inner speech misattributed as external, weak source monitoring) and differ mainly in distress and appraisal. The criterion is a percept in the absence of an object, and the clinical question is what the person believes about it.[10][11]

Unit
A person's experience, reported in interview
Recovery means
Remission, reduced frequency, distress, and conviction, or the experience continuing without disability
Measured by
Structured interview; symptom rating scales for frequency, duration, loudness, distress, and beliefs about origin
Scales indexed for this construct
  • Psychotic Symptom Rating Scales: Auditory Hallucinations subscale (PSYRATS-AH)Haddock, G., McCarron, J., Tarrier, N., & Faragher, E. B., 1999 · clinician-rated dimensions of voices: frequency, duration, location, loudness, beliefs about origin, negative content, distress, disruption, and control11 items

Cognitive neuroscience

Hallucination as prior expectation overpowering sensory evidence

A percept generated when the brain's prior expectations are weighted too heavily against incoming sensory evidence, so that the prediction is experienced as the sensation. Corlett and colleagues set out the strong-priors account in 2019 within predictive processing: perception is inference, hallucination is inference gone confident. Powers, Mathys, and Corlett had produced the effect experimentally in 2017 by conditioning people to expect a tone with a visual cue; those who hear voices, clinical or not, reported the tone in its absence more often, and computational modelling traced this to overweighted priors. The construct is a parameter in a Bayesian model, and the same parameter shift is supposed to explain the psychiatric symptom, the drug state, and ordinary illusions.[13][14]

Unit
A precision-weighting parameter in a person's perceptual inference
Recovery means
Rebalancing, priors weighted down or sensory precision restored, whether by drug, therapy, or time
Measured by
Conditioned hallucination paradigms; model-based estimates of prior weighting from behaviour and neuroimaging

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Nearby collisions

deception6 fields · 14 citationsjingle · one name, six constructsknowledge6 fields · 12 citationsjingle · one name, six constructsattention5 fields · 10 citationsjingle · one name, five constructs

References

  1. Maynez, J., Narayan, S., Bohnet, B., & McDonald, R. (2020). On faithfulness and factuality in abstractive summarization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 1906–1919). Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.173
  2. Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), 1–38. https://doi.org/10.1145/3571730
  3. Kalai, A. T., & Vempala, S. S. (2024). Calibrated language models must hallucinate. In Proceedings of the 56th Annual ACM Symposium on Theory of Computing (pp. 160–171). ACM. https://doi.org/10.1145/3618260.3649777
  4. Baker, S., & Kanade, T. (2002). Limits on super-resolution and how to break them. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(9), 1167–1183. https://doi.org/10.1109/TPAMI.2002.1033210
  5. Wang, N., Tao, D., Gao, X., Li, X., & Li, J. (2014). A comprehensive survey to face hallucination. International Journal of Computer Vision, 106(1), 9–30. https://doi.org/10.1007/s11263-013-0645-9
  6. Martin, M. G. F. (2004). The limits of self-awareness. Philosophical Studies, 120(1–3), 37–89. https://doi.org/10.1023/B:PHIL.0000033751.66949.97
  7. Macpherson, F., & Platchias, D. (Eds.). (2013). Hallucination: Philosophy and psychology. MIT Press. https://doi.org/10.7551/mitpress/9780262019200.001.0001
  8. Nichols, D. E. (2016). Psychedelics. Pharmacological Reviews, 68(2), 264–355. https://doi.org/10.1124/pr.115.011478
  9. Carhart-Harris, R. L., Leech, R., Hellyer, P. J., Shanahan, M., Feilding, A., Tagliazucchi, E., Chialvo, D. R., & Nutt, D. (2014). The entropic brain: A theory of conscious states informed by neuroimaging research with psychedelic drugs. Frontiers in Human Neuroscience, 8, 20. https://doi.org/10.3389/fnhum.2014.00020
  10. Aleman, A., & Larøi, F. (2008). Hallucinations: The science of idiosyncratic perception. American Psychological Association. https://doi.org/10.1037/11751-000
  11. Waters, F., Allen, P., Aleman, A., Fernyhough, C., Woodward, T. S., Badcock, J. C., Barkus, E., Johns, L., Varese, F., Menon, M., Vercammen, A., & Larøi, F. (2012). Auditory hallucinations in schizophrenia and nonschizophrenia populations: A review and integrated model of cognitive mechanisms. Schizophrenia Bulletin, 38(4), 683–693. https://doi.org/10.1093/schbul/sbs045
  12. Haddock, G., McCarron, J., Tarrier, N., & Faragher, E. B. (1999). Scales to measure dimensions of hallucinations and delusions: The psychotic symptom rating scales (PSYRATS). Psychological Medicine, 29(4), 879–889. https://doi.org/10.1017/S0033291799008661
  13. Corlett, P. R., Horga, G., Fletcher, P. C., Alderson-Day, B., Schmack, K., & Powers, A. R. (2019). Hallucinations and strong priors. Trends in Cognitive Sciences, 23(2), 114–127. https://doi.org/10.1016/j.tics.2018.12.001
  14. Powers, A. R., Mathys, C., & Corlett, P. R. (2017). Pavlovian conditioning–induced hallucinations result from overweighting of perceptual priors. Science, 357(6351), 596–600. https://doi.org/10.1126/science.aan3458

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