scholarly journals Evolving networks of human intelligence

Intelligence ◽  
2021 ◽  
Vol 88 ◽  
pp. 101567
Author(s):  
Alexander O. Savi ◽  
Maarten Marsman ◽  
Han L.J. van der Maas
2021 ◽  
Author(s):  
Alexander Olof Savi ◽  
Maarten Marsman ◽  
Han van der Maas

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 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.


1973 ◽  
Vol 18 (9) ◽  
pp. 416-417
Author(s):  
MARJORIE P. HONZIK
Keyword(s):  

1966 ◽  
Vol 11 (6) ◽  
pp. 317-317
Author(s):  
No authorship indicated
Keyword(s):  

2020 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Ali Tarihi ◽  
Hassan Haghighi ◽  
Fereidoon Shams Aliee ◽  
Amirmehdi Setarenejad

2019 ◽  
Vol 24 (2) ◽  
pp. 241-258
Author(s):  
Paul Dumouchel

The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing artificial intelligence with human intelligence could allow us to understand both forms better. This paper thus aims to compare and distinguish these two forms of intelligence, focusing on three issues: forms of embodiment, autonomy and judgment. Doing so, I argue, should enable us to have a better view of the promises and limitations of present-day artificial intelligence, along with its benefits and dangers and the place we should make for it in our culture and society.


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