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ClarkCC2017PredictionsPrecisionAndAgentiveAttention.pdf (164.85 kB)

Predictions, precision, and agentive attention

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journal contribution
posted on 2023-06-09, 17:08 authored by Andrew ClarkAndrew Clark
The use of forward models (mechanisms that predict the future state of a system) is well established in cognitive and computational neuroscience. We compare and contrast two recent, but interestingly divergent, accounts of the place of forward models in the human cognitive architecture. On the Auxiliary Forward Model (AFM) account, forward models are special-purpose prediction mechanisms implemented by additional circuitry distinct from core mechanisms of perception and action. On the Integral Forward Model (IFM) account, forward models lie at the heart of all forms of perception and action. We compare these neighbouring but importantly different visions and consider their implications for the cognitive sciences. We end by asking what kinds of empirical research might offer evidence favouring one or the other of these approaches.

Funding

ERC Advanced Grant XSPECT; ERC; DLV-692739

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Consciousness and Cognition

ISSN

1053-8100

Publisher

Elsevier

Volume

56

Page range

115-119

Department affiliated with

  • Philosophy Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2019-03-13

First Open Access (FOA) Date

2019-03-13

First Compliant Deposit (FCD) Date

2019-03-13

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