Literature DB >> 23490020

How from action-mirroring to intention-ascription?

Pierre Jacob1.   

Abstract

This paper is devoted to an assessment of the three-step model offered by Gallese and colleagues in support of the thesis that the function of the mirror mechanism is to mindread an agent's intention. The first step of the model is the acceptance of the direct-matching model of action understanding. The second step is the endorsement of a different model of mirror neuron activity, i.e. the model of chains of logically related mirror neurons (or motor chains) whose application to action-mirroring is supposed to show that the mirror mechanism enables an observer to predict the goal of the agent's forthcoming action. The third step is the endorsement of the 'deflationary' account of intention-ascription according to which to ascribe an intention to an agent is to predict the goal of the agent's forthcoming action. I argue that each step of the model faces insuperable objections.
Copyright © 2013 Elsevier Inc. All rights reserved.

Keywords:  Embodied simulation; Mindreading; Mirror neurons; Motor intention; Prior intention

Mesh:

Year:  2013        PMID: 23490020     DOI: 10.1016/j.concog.2013.02.005

Source DB:  PubMed          Journal:  Conscious Cogn        ISSN: 1053-8100


  5 in total

1.  The role of perspective in discriminating between social and non-social intentions from reach-to-grasp kinematics.

Authors:  Francesca Ciardo; Isabella Campanini; Andrea Merlo; Sandro Rubichi; Cristina Iani
Journal:  Psychol Res       Date:  2017-04-25

Review 2.  Action Understanding Promoted by Interoception in Children: A Developmental Model.

Authors:  Hui Zhou; Qiyang Gao; Wei Chen; Qiaobo Wei
Journal:  Front Psychol       Date:  2022-02-21

Review 3.  A Computational Account of Borderline Personality Disorder: Impaired Predictive Learning about Self and Others Through Bodily Simulation.

Authors:  Sarah K Fineberg; Matthew Steinfeld; Judson A Brewer; Philip R Corlett
Journal:  Front Psychiatry       Date:  2014-08-27       Impact factor: 4.157

4.  Action Observation Areas Represent Intentions From Subtle Kinematic Features.

Authors:  Atesh Koul; Andrea Cavallo; Franco Cauda; Tommaso Costa; Matteo Diano; Massimiliano Pontil; Cristina Becchio
Journal:  Cereb Cortex       Date:  2018-07-01       Impact factor: 5.357

5.  Movement kinematics drive chain selection toward intention detection.

Authors:  Marco Soriano; Andrea Cavallo; Alessandro D'Ausilio; Cristina Becchio; Luciano Fadiga
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-21       Impact factor: 11.205

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.