当前位置: X-MOL 学术Intelligence › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Evolving networks of human intelligence
Intelligence ( IF 3.3 ) Pub Date : 2021-07-16 , DOI: 10.1016/j.intell.2021.101567
Alexander O. Savi 1 , Maarten Marsman 2 , Han L.J. van der Maas 2
Affiliation  

Twentieth century theory formation in human intelligence was dominated by factor theories; network theories will dominate the twenty first. Network theories answer a broad call for formal theories in psychological science, provide a strong approach to an idiographic science, and create an opportunity to study the developmental mechanisms of human's cognitive dynamics. Although the current century already delivered two formal stationary network theories of human intelligence—mutualism and wired intelligence—integrating dynamic mechanisms remains a serious challenge. This challenge translates into clear priorities: the identification of robust developmental phenomena, the study of the biological and cognitive mechanisms that drive these phenomena, the integration of these mechanisms into network theories of growth, the integration of network theories from different explanatory levels, and the empirical characterization of the structure of network theories.



中文翻译:

不断发展的人类智能网络

20 世纪人类智能理论的形成主要是因素理论;网络理论将主导二十一世纪。网络理论回应了对心理科学形式理论的广泛呼吁,为具体科学提供了强有力的方法,并为研究人类认知动力学的发展机制创造了机会。尽管本世纪已经提出了两种正式的人类智能静态网络理论——互惠主义和有线智能,但整合动态机制仍然是一个严峻的挑战。这一挑战转化为明确的优先事项:确定稳健的发展现象,研究驱动这些现象的生物和认知机制,将这些机制整合到网络增长理论中,

更新日期:2021-07-18
down
wechat
bug