A deep active inference model of the rubber-hand illusion

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Title:	A deep active inference model of the rubber-hand illusion
Author(s):	Rood, T.; Gerven, M.A.J. van ; Lanillos Pradas, P.L.
Publication year:	2020
In:	Verbelen, T.; Lanillos, P.; Buckley, C.L. (ed.), Active inference: First International Workshop, IWAI 2020, Proceedings, pp. 84-91
Publisher:	Cham : Springer
ISBN:	9783030649197
DOI:	https://doi.org/10.1007/978-3-030-64919-7_10
Annotation:	IWAI 2020: International Workshop on Active Inference (Ghent, Belgium, September 14, 2020)
Publication type:	Article in monograph or in proceedings
Please use this identifier to cite or link to this item : https://hdl.handle.net/2066/228502
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Editor(s):	Verbelen, T.; Lanillos, P.; Buckley, C.L.; Boom, C. de
Subject:	Cognitive artificial intelligence
Organization:	SW OZ DCC AI
Book title:	Verbelen, T.; Lanillos, P.; Buckley, C.L. (ed.), Active inference: First International Workshop, IWAI 2020, Proceedings
Page start:	p. 84
Page end:	p. 91
Abstract:	Understanding how perception and action deal with sensorimotor conflicts, such as the rubber-hand illusion (RHI), is essential to understand how the body adapts to uncertain situations. Recent results in humans have shown that the RHI not only produces a change in the perceived arm location, but also causes involuntary forces. Here, we describe a deep active inference agent in a virtual environment, which we subjected to the RHI, that is able to account for these results. We show that our model, which deals with visual high-dimensional inputs, produces similar perceptual and force patterns to those found in humans.
Languages used:	English (eng)