The study of motor skills under a view of hierarchical organisation of open system

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
U. Corrêa, Fabian Alberto Romero Clavijo, Marcos Antônio Mattos dos Reis, G. Tani
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引用次数: 3

Abstract

This article considers human motor skills based on the concept of the hierarchical organisation of living systems. This concept considers apparently opposite phenomena (e.g. consistency-variability) as complementary and as contemplated in the same structure. The hierarchy in open systems is characterised by three main relativities: (a) whole and parts, (b) control and (c) variability. From a hierarchical standpoint, motor skills phenomena are structured under two levels: macro (responsible for the consistency and configuration of patterns) and micro (responsible for variability and, consequently, the flexibility of patterns). Study findings make it possible to understand how adaptations in the soccer, futsal, swimming, golf, coincident timing and graphic motor skills take place by altering the microstructure (parameterisation) or reorganising the macrostructure (self-organisation). The distinction between these two modes of adaptation allows us to consider the increase of complexity in the motor skills phenomena as a basic feature of living systems.
开放系统层次组织视角下的运动技能研究
本文基于生命系统的层次组织概念来考虑人类的运动技能。这个概念认为明显相反的现象(如一致性-可变性)是互补的,并在同一结构中考虑。开放系统中的层次结构以三个主要的相对性为特征:(a)整体和部分,(b)控制和(c)可变性。从层次的角度来看,运动技能现象分为两个层次:宏观(负责模式的一致性和配置)和微观(负责模式的可变性,因此,模式的灵活性)。研究结果使我们有可能理解足球、五人制足球、游泳、高尔夫、同步计时和图形运动技能是如何通过改变微观结构(参数化)或重组宏观结构(自组织)来适应的。这两种适应模式之间的区别使我们能够将运动技能现象的复杂性的增加视为生命系统的基本特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Adaptive Behavior
Adaptive Behavior 工程技术-计算机:人工智能
CiteScore
4.30
自引率
18.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: _Adaptive Behavior_ publishes articles on adaptive behaviour in living organisms and autonomous artificial systems. The official journal of the _International Society of Adaptive Behavior_, _Adaptive Behavior_, addresses topics such as perception and motor control, embodied cognition, learning and evolution, neural mechanisms, artificial intelligence, behavioral sequences, motivation and emotion, characterization of environments, decision making, collective and social behavior, navigation, foraging, communication and signalling. Print ISSN: 1059-7123
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