z-logo
open-access-imgOpen Access
Learning, remembering, and predicting how to use tools: Distributed neurocognitive mechanisms: Comment on Osiurak and Badets (2016).
Author(s) -
Laurel J. Buxbaum
Publication year - 2017
Publication title -
psychological review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.688
H-Index - 211
eISSN - 1939-1471
pISSN - 0033-295X
DOI - 10.1037/rev0000051
Subject(s) - psycinfo , neurocognitive , action (physics) , psychology , task (project management) , cognitive psychology , cognition , cognitive science , domain (mathematical analysis) , action selection , computer science , artificial intelligence , perception , medline , neuroscience , mathematical analysis , physics , mathematics , management , quantum mechanics , political science , law , economics
The reasoning-based approach championed by Francois Osiurak and Arnaud Badets (Osiurak & Badets, 2016) denies the existence of sensory-motor memories of tool use except in limited circumstances, and suggests instead that most tool use is subserved solely by online technical reasoning about tool properties. In this commentary, I highlight the strengths and limitations of the reasoning-based approach and review a number of lines of evidence that manipulation knowledge is in fact used in tool action tasks. In addition, I present a "two route" neurocognitive model of tool use called the "Two Action Systems Plus (2AS+)" framework that posits a complementary role for online and stored information and specifies the neurocognitive substrates of task-relevant action selection. This framework, unlike the reasoning based approach, has the potential to integrate the existing psychological and functional neuroanatomic data in the tool use domain. (PsycINFO Database Record

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here