Evidence for an attentional model of human intelligence using the competing task paradigm

1991 ◽  
Vol 12 (5) ◽  
pp. 445-455 ◽  
Author(s):  
Richard D. Roberts ◽  
Helen C. Beh ◽  
Georgina Spilsbury ◽  
Lazar Stankov
Author(s):  
Luisa Lugli ◽  
Stefania D’Ascenzo ◽  
Roberto Nicoletti ◽  
Carlo Umiltà

Abstract. The Simon effect lies on the automatic generation of a stimulus spatial code, which, however, is not relevant for performing the task. Results typically show faster performance when stimulus and response locations correspond, rather than when they do not. Considering reaction time distributions, two types of Simon effect have been individuated, which are thought to depend on different mechanisms: visuomotor activation versus cognitive translation of spatial codes. The present study aimed to investigate whether the presence of a distractor, which affects the allocation of attentional resources and, thus, the time needed to generate the spatial code, changes the nature of the Simon effect. In four experiments, we manipulated the presence and the characteristics of the distractor. Findings extend previous evidence regarding the distinction between visuomotor activation and cognitive translation of spatial stimulus codes in a Simon task. They are discussed with reference to the attentional model of the Simon effect.


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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