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Predictive processing: Shedding light on the computational processes underlying motivated behavior

Lieke van Lieshout et al.

Behavioral and Brain Sciences2025https://doi.org/10.1017/s0140525x24000396article
AJG 4
Weight
0.46

What the paper says

Integrating the predictive processing framework into our understanding of motivation offers promising avenues for theoretical development, while shedding light on the computational processes underlying motivated behavior. Here we decompose expected free energy into intrinsic value (i.e., epistemic affordance) and extrinsic value (i.e., instrumental affordance) to provide insights into how individuals adapt to and interact with their environment.

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https://doi.org/https://doi.org/10.1017/s0140525x24000396

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@article{lieke2025,
  title        = {{Predictive processing: Shedding light on the computational processes underlying motivated behavior}},
  author       = {Lieke van Lieshout et al.},
  journal      = {Behavioral and Brain Sciences},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1017/s0140525x24000396},
}

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Predictive processing: Shedding light on the computational processes underlying motivated behavior

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Evidence weight

0.46

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.37 × 0.4 = 0.15
M · momentum0.60 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.