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A duet for one.
Open accessAbstract
This paper considers communication in terms of inference about the behaviour of others (and our own behaviour). It is based on the premise that our sensations are largely generated by other agents like ourselves. This means, we are trying to infer how our sensations are caused by others, while they are trying to infer our behaviour: for example, in the dialogue between two speakers. We suggest that the infinite regress induced by modelling another agent - who is modelling you - can be finessed if you both possess the same model. In other words, the sensations caused by others and oneself are generated by the same process. This leads to a view of communication based upon a narrative that is shared by agents who are exchanging sensory signals. Crucially, this narrative transcends agency - and simply involves intermittently attending to and attenuating sensory input. Attending to sensations enables the shared narrative to predict the sensations generated by another (i.e. to listen), while attenuating sensory input enables one to articulate the narrative (i.e. to speak). This produces a reciprocal exchange of sensory signals that, formally, induces a generalised synchrony between internal (neuronal) brain states generating predictions in both agents. We develop the arguments behind this perspective, using an active (Bayesian) inference framework and offer some simulations (of birdsong) as proof of principle.
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“This brings with it an extra inference problem; namely, the attribution of agency. In other words, if we use the same models to explain our own behavior and the observed consequences of another’s behavior, then we also have to carefully infer agency (in order to appropriately attenuate proprioceptive precision and preclude echopraxia, Friston and Frith, 2015).”
From 'Seeing the Dark': Grounding Phenomenal Transparency and Opacity in Precision Estimation for Active Inference (2018) · cites this paper as Friston and Frith, 2015
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“A particularly interesting issue here is interoceptive inference (Seth, 2013), and how visual cues about the emotional states of others can be interpreted in relation to generative models of our own interoceptive cues: see (Kanaya, Matsushima, & Yokosawa, 2012).”
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Metadata
- Authors
- Friston, K., & Frith, C.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Friston, Karl
- ORCID
- Friston, Karl
- Venue
- Consciousness and Cognition
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 36
- Pages
- 390-405
- ISSN
- 1053-8100 (ISSN-L)
- PMC
- PMC4553904
- OpenAlex
- W2024149692
- Cited by
- 359
- References
- 82
- Citations by year
- 2026: 44 · 2025: 31 · 2024: 33 · 2023: 43 · 2022: 41 · 2021: 41 · 2020: 21 · 2019: 22 · 2018: 30 · 2017: 26 · 2016: 22 · 2015: 5
- FWCI
- 16.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Consciousness and Cognition (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (091593, 088130)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- communication, joint action, shared narratives, Bayesian inference, infinite regress, shared models, sensory prediction, attention, attenuation, bird song, social cognition
- MeSH terms
- Animals, Attention, Communication, Humans, Models, Theoretical, Perception, Sensation, Thinking, Theory of Mind
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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