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DC Field | Value | Language |
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dc.contributor.author | Harris, DJ | - |
dc.contributor.author | Arthur, T | - |
dc.contributor.author | Broadbent, DP | - |
dc.contributor.author | Wilson, MR | - |
dc.contributor.author | Vine, SJ | - |
dc.contributor.author | Runswick, OR | - |
dc.date.accessioned | 2022-06-11T16:00:47Z | - |
dc.date.available | 2022-06-11T16:00:47Z | - |
dc.date.issued | 2022-05-03 | - |
dc.identifier.citation | Harris, D.J., Arthur, T., Broadbent, D.P., Wilson, M.R., Vine S.J. and Runswick, O.R. (2022) 'An Active Inference Account of Skilled Anticipation in Sport: Using Computational Models to Formalise Theory and Generate New Hypotheses', Sports Medicine, 52 (9), pp. 2023 - 2038 (16). doi. 10.1007/s40279-022-01689-w. | en_US |
dc.identifier.issn | 0112-1642 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24685 | - |
dc.description | Availability of data and material: All relevant data are available online from: https://osf.io/vuy8e/. Code availability: The code is available online from: https://osf.io/vuy8e/. | en_US |
dc.description.abstract | Copyright © The Authors 2022. Optimal performance in time-constrained and dynamically changing environments depends on making reliable predictions about future outcomes. In sporting tasks, performers have been found to employ multiple information sources to maximise the accuracy of their predictions, but questions remain about how different information sources are weighted and integrated to guide anticipation. In this paper, we outline how predictive processing approaches, and active inference in particular, provide a unifying account of perception and action that explains many of the prominent findings in the sports anticipation literature. Active inference proposes that perception and action are underpinned by the organism’s need to remain within certain stable states. To this end, decision making approximates Bayesian inference and actions are used to minimise future prediction errors during brain–body–environment interactions. Using a series of Bayesian neurocomputational models based on a partially observable Markov process, we demonstrate that key findings from the literature can be recreated from the first principles of active inference. In doing so, we formulate a number of novel and empirically falsifiable hypotheses about human anticipation capabilities that could guide future investigations in the field. | en_US |
dc.description.sponsorship | No funding was associated with the preparation of this article. | en_US |
dc.format.extent | 2023 - 2038 (16) | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.rights | Copyright © The Authors 2022. Rights and permissions: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | sport | en_US |
dc.subject | perception | en_US |
dc.subject | Bayesian | en_US |
dc.subject | probability | en_US |
dc.subject | prediction | en_US |
dc.subject | MIDASS | en_US |
dc.subject | dynamical systems | en_US |
dc.title | An Active Inference Account of Skilled Anticipation in Sport: Using Computational Models to Formalise Theory and Generate New Hypotheses | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1007/s40279-022-01689-w | - |
dc.relation.isPartOf | Sports Medicine | - |
pubs.issue | 9 | - |
pubs.publication-status | Published | - |
pubs.volume | 52 | - |
dc.identifier.eissn | 1179-2035 | - |
dc.rights.holder | The Authors | - |
Appears in Collections: | Dept of Life Sciences Research Papers |
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