In this paper, we aim to elucidate the processes that occur during action preparation from both a conceptual and a computational point of view. We rst introduce the traditional, serial model of goaldirected action and discuss from a computational viewpoint its subprocesses occurring during the two phases of covert action preparation and overt motor control. Then, we discuss recent evidence indicating that these sub-processes are highly intertwined at representational and neural levels, which undermines the validity of the serial model and points instead to a parallel model of action speci cation and selection. Within the parallel view, we analyze the case of delayed choice, arguing that action preparation can be proactive, and preparatory processes can take place even before decisions are made. Speci cally, we discuss how prior knowledge and prospective abilities can be used to maximize utility even before deciding what to do. To support our view, we present a computational implementation of (an approximated version of) proactive action preparation, showing its advantages in a simulated tennis-like scenario.

Proactive action preparation: Seeing action preparation as a continuous and proactive process

Pezzulo Giovanni;
2012

Abstract

In this paper, we aim to elucidate the processes that occur during action preparation from both a conceptual and a computational point of view. We rst introduce the traditional, serial model of goaldirected action and discuss from a computational viewpoint its subprocesses occurring during the two phases of covert action preparation and overt motor control. Then, we discuss recent evidence indicating that these sub-processes are highly intertwined at representational and neural levels, which undermines the validity of the serial model and points instead to a parallel model of action speci cation and selection. Within the parallel view, we analyze the case of delayed choice, arguing that action preparation can be proactive, and preparatory processes can take place even before decisions are made. Speci cally, we discuss how prior knowledge and prospective abilities can be used to maximize utility even before deciding what to do. To support our view, we present a computational implementation of (an approximated version of) proactive action preparation, showing its advantages in a simulated tennis-like scenario.
Campo DC Valore Lingua
dc.authority.ancejournal MOTOR CONTROL -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.orgunit Istituto di Scienze e Tecnologie della Cognizione - ISTC -
dc.authority.people Pezzulo Giovanni it
dc.authority.people Ognibene Dimitri it
dc.collection.id.s b3f88f24-048a-4e43-8ab1-6697b90e068e *
dc.collection.name 01.01 Articolo in rivista *
dc.contributor.appartenenza Istituto di Scienze e Tecnologie della Cognizione - ISTC *
dc.contributor.appartenenza.mi 986 *
dc.date.accessioned 2024/02/16 05:08:16 -
dc.date.available 2024/02/16 05:08:16 -
dc.date.issued 2012 -
dc.description.abstracteng In this paper, we aim to elucidate the processes that occur during action preparation from both a conceptual and a computational point of view. We rst introduce the traditional, serial model of goaldirected action and discuss from a computational viewpoint its subprocesses occurring during the two phases of covert action preparation and overt motor control. Then, we discuss recent evidence indicating that these sub-processes are highly intertwined at representational and neural levels, which undermines the validity of the serial model and points instead to a parallel model of action speci cation and selection. Within the parallel view, we analyze the case of delayed choice, arguing that action preparation can be proactive, and preparatory processes can take place even before decisions are made. Speci cally, we discuss how prior knowledge and prospective abilities can be used to maximize utility even before deciding what to do. To support our view, we present a computational implementation of (an approximated version of) proactive action preparation, showing its advantages in a simulated tennis-like scenario. -
dc.description.affiliations [1] CNR-ILC, Pisa; [2] Imperial College - London -
dc.description.allpeople Pezzulo, Giovanni; Ognibene, Dimitri -
dc.description.allpeopleoriginal Pezzulo, Giovanni [1]; Ognibene, Dimitri [2] -
dc.description.fulltext none en
dc.description.note ID_PUMA: /cnr.ilc/2012-A0-007 -
dc.description.numberofauthors 2 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/6207 -
dc.language.iso eng -
dc.relation.firstpage 386 -
dc.relation.issue 3 -
dc.relation.lastpage 424 -
dc.relation.volume 16 -
dc.subject.keywords action preparation -
dc.subject.keywords action execution -
dc.subject.keywords proactivity -
dc.subject.keywords prediction -
dc.subject.keywords internal model -
dc.subject.singlekeyword action preparation *
dc.subject.singlekeyword action execution *
dc.subject.singlekeyword proactivity *
dc.subject.singlekeyword prediction *
dc.subject.singlekeyword internal model *
dc.title Proactive action preparation: Seeing action preparation as a continuous and proactive process en
dc.type.driver info:eu-repo/semantics/article -
dc.type.full 01 Contributo su Rivista::01.01 Articolo in rivista it
dc.type.miur 262 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 217381 -
iris.orcid.lastModifiedDate 2024/04/04 10:20:54 *
iris.orcid.lastModifiedMillisecond 1712218854764 *
iris.sitodocente.maxattempts 3 -
Appare nelle tipologie: 01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/6207
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