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Applying the Search Strategies Approach to Practice: The Feldenkrais Method
Author(s) -
Charley W. Lafe,
Matheus M. Pacheco
Publication year - 2020
Publication title -
brazilian journal of motor behavior
Language(s) - English
Resource type - Journals
eISSN - 2446-4902
pISSN - 1980-5586
DOI - 10.20338/bjmb.v13i5.147
Subject(s) - computer science , point (geometry) , dreyfus model of skill acquisition , rehabilitation , machine learning , artificial intelligence , human–computer interaction , psychology , mathematics , neuroscience , geometry , economics , economic growth
The search strategies approach (SSA) to skill acquisition has its roots in the dynamical systems approach and has demonstrated a number of theoretical advances to the area. We argue that its advances can and are already linked to practical applications when we consider the method of Moshe Feldenkrais. The Feldenkrais Method (FM) considers skill acquisition (from rehabilitation to daily life activities improvement) in terms of exploration of new possibilities to achieve efficiency in movement. In this paper, we demonstrate how the SSA encompasses Feldenkrais method (FM) demonstrating its applicability. Furthermore, we point to new possibilities in both FM and SSA if these are to be formally linked.

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