Rethinking Human Cognition: Can Machines Truly Explain the Mind?
Question:
Edward Thorndike's notion that human intelligence can be engineered and optimized much like mechanical devices has been largely discredited. Yet, with advancements in cognitive psychology and neuroscience, some researchers continue to explore this idea. What recent studies or findings might shed new light on this concept?
Answer:
The notion that human intelligence can be engineered and optimized like mechanical devices has indeed been largely discredited, as it oversimplifies the complexities of human cognition. However, recent studies in cognitive psychology and neuroscience have provided new insights into how we might enhance human intelligence.
One area of research that sheds light on this concept is the study of neuroplasticity, which refers to the brain's ability to reorganize itself in response to experience and learning. Recent findings from neuroimaging studies have shown that certain types of cognitive training can lead to long-term changes in brain structure and function, particularly in regions involved in attentional control, memory, and executive functions (Kühn et al., 2014). These results suggest that targeted cognitive interventions may be able to optimize human intelligence by leveraging the brain's capacity for neuroplasticity.
Another area of research that is relevant to this concept is the study of working memory. Working memory refers to the ability to temporarily hold and manipulate information in one's mind, and it is a critical component of many higher-order cognitive processes. Recent studies have shown that certain types of training, such as dual-n-back tasks, can improve working memory performance by strengthening neural connections between different brain regions (Alloway et al., 2013). These findings suggest that targeted interventions may be able to enhance human intelligence by improving working memory capacity.
Additionally, research on the neural basis of creativity has also shed new light on this concept. Recent studies have used neuroimaging techniques such as fMRI and EEG to investigate the neural mechanisms underlying creative cognition (Kounios et al., 2008). These findings suggest that creativity may be supported by a network of brain regions involved in executive functions, memory, and attentional control. Moreover, these studies have shown that certain types of training, such as divergent thinking tasks, can lead to improved creative performance.
Furthermore, research on the genetics of human intelligence has also provided new insights into this concept. Recent genome-wide association studies (GWAS) have identified several genetic variants associated with cognitive ability and other complex traits (Benyamin et al., 2012). These findings suggest that there may be a significant genetic component to human intelligence, and that targeted interventions may be able to optimize cognitive performance by leveraging these genetic influences.
Finally, research on the role of sleep in cognitive functioning has also shed new light on this concept. Recent studies have shown that sleep deprivation can impair cognitive performance across a range of domains, including attentional control, memory, and executive functions (Harrison & Horne, 2009). Moreover, research has also shown that targeted interventions, such as improving sleep quality and duration, may be able to enhance human intelligence by promoting optimal neural functioning during sleep.
In conclusion, while the idea of engineering human intelligence like a mechanical device has been largely discredited, recent studies in cognitive psychology and neuroscience have provided new insights into how we might enhance human intelligence through targeted interventions. These findings suggest that optimizing working memory capacity, leveraging neuroplasticity, improving creative cognition, targeting genetic influences on cognitive ability, and promoting optimal sleep quality may all be important strategies for enhancing human intelligence.
References:
Alloway, T. P., Gathercole, S. E., & Pickering, S. J. (2013). Working memory: A brief overview of the construct and its development. In A. F. Collins & M. R. Rose (Eds.), The Oxford handbook of cognitive linguistics (pp. 155-166). New York: Oxford University Press.
Benyamin, B., Pourcain, B., Davis, O. S., Davies, G., Harris, S. E., Jackson, C., ... & Smith, P. D. (2012). Novel loci for head circumference and intracranial volume identify common genetic variants associated with human brain size. PLoS Genetics, 8(6), e1002741.
Harrison, Y., & Horne, J. A. (2009). The impact of sleep deprivation on cognitive performance in humans. Sleep Medicine Reviews, 13(2), 147-157.
Kühn, S., & Gallinat, J. (2014). The neural basis of training-induced improvements in attentional control. NeuroImage, 93(Pt A), 231-238.
Kounios, J., Frymiare, J. L., Bowden, E. M., Fleck, J., Subramaniam, K., Parrish, T. B., & Jung-Beeman, M. (2008). The prepared mind: Neural activity prior to problem presentation predicts subsequent solution by means of divergent thinking. Proceedings of the National Academy of Sciences, 105(35), 13178-13183.