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File:Inferring-on-the-Intentions-of-Others-by-Hierarchical-Bayesian-Learning-pcbi.1003810.s005.ogv

Inferring-on-the-Intentions-of-Others-by-Hierarchical-Bayesian-Learning-pcbi.1003810.s005.ogv ‎(Ogg Theora video file, length 20 s, 522 × 402 pixels, 538 kbps, file size: 1.26 MB)

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English: The relationship between and in the response model. Parameter determines the weight of the advice, and represents the inverse of the adviser phasic volatility estimate. As the inverse of approaches ∞, the estimated volatility of the adviser's intentions decreases, and decisions are more consistent with the players' beliefs.
Date
Source Video S1 from Diaconescu A, Mathys C, Weber L, Daunizeau J, Kasper L, Lomakina E, Fehr E, Stephan K (2014). "Inferring on the Intentions of Others by Hierarchical Bayesian Learning". PLOS Computational Biology. DOI:10.1371/journal.pcbi.1003810. PMID 25187943. PMC: 4154656.
Author Diaconescu A, Mathys C, Weber L, Daunizeau J, Kasper L, Lomakina E, Fehr E, Stephan K
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Date/TimeThumbnailDimensionsUserComment
current06:05, 11 September 201420 s, 522 × 402 (1.26 MB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 360P 158 kbps Completed 19:08, 29 August 2018 7.0 s
Streaming 360p (VP9) Not ready Unknown status
VP9 240P 64 kbps Completed 19:08, 29 August 2018 7.0 s
Streaming 240p (VP9) 64 kbps Completed 10:53, 5 December 2023 1.0 s
WebM 360P 163 kbps Completed 06:06, 11 September 2014 15 s
Streaming 144p (MJPEG) 1.05 Mbps Completed 14:14, 15 November 2023 1.0 s

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