
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