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A Bayesian psychophysics model of sense of agency

Author

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  • Roberto Legaspi

    (RIKEN Center for Brain Science
    RIKEN CBS-OMRON Collaboration Center)

  • Taro Toyoizumi

    (RIKEN Center for Brain Science
    RIKEN CBS-OMRON Collaboration Center)

Abstract

Sense of agency (SoA) refers to the experience or belief that one’s own actions caused an external event. Here we present a model of SoA in the framework of optimal Bayesian cue integration with mutually involved principles, namely reliability of action and outcome sensory signals, their consistency with the causation of the outcome by the action, and the prior belief in causation. We used our Bayesian model to explain the intentional binding effect, which is regarded as a reliable indicator of SoA. Our model explains temporal binding in both self-intended and unintentional actions, suggesting that intentionality is not strictly necessary given high confidence in the action causing the outcome. Our Bayesian model also explains that if the sensory cues are reliable, SoA can emerge even for unintended actions. Our formal model therefore posits a precision-dependent causal agency.

Suggested Citation

  • Roberto Legaspi & Taro Toyoizumi, 2019. "A Bayesian psychophysics model of sense of agency," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12170-0
    DOI: 10.1038/s41467-019-12170-0
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