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Dergiler / Sakarya University Journal of Computer and Information Sciences / 2020 / Cilt: 3 Sayı: 2

An Investigation into the Relationship between Curse of Dimensionality and Dunning-Kruger Effect

Dr. Mehmet Cem ÇATALBAŞ
Sayfa
121–130
Yayın Tarihi
2020-08-28
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This relationship has been explained by the knowledge of human's problem-solving ability and mathematical models of memory.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This study addresses a novel perspective for analyzing the source of confidence in human behavior.
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Temel Bulgular & Veri:The concept of confidence was examined via the relationship between two phenomena in the area of machine learning and psychology, namely the Dunning-Kruger effect and the curse of dimensionality.
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Sonuç & Katkı:This relationship has been explained by the knowledge of human's problem-solving ability and mathematical models of memory.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Neuroscience · Artificial Intelligence · Dunning-Kruger

Abstract

This study addresses a novel perspective for analyzing the source of confidence in human behavior. The concept of confidence was examined via the relationship between two phenomena in the area of machine learning and psychology, namely the Dunning-Kruger effect and the curse of dimensionality. A relationship was established between these two phenomena which were investigated in the light of neuroscience. This study claims that confidence is highly related with the total time it takes to reach specific information and this relationship is inversely proportional. Image gender classification algorithm was used to analyze this relationship for this study and the curves which were obtained as a result of this analysis was compared with the curve of Dunning-Kruger effect and curse of dimensionality. This relationship has been explained by the knowledge of human's problem-solving ability and mathematical models of memory.

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Bu Makaleye Atıf Yap

ÇATALBAŞ, D. M. C. (2020). An Investigation into the Relationship between Curse of Dimensionality and Dunning-Kruger Effect. Sakarya University Journal of Computer and Information Sciences, Cilt: 3 Sayı: 2, 121–130. https://ajindex.com/articles/946688

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Kaynakça (9)

  1. S. Finger, Origins of neuroscience: a history of explorations into brain function. Oxford University Press, USA, 2001.
  2. J. Ward, The student's guide to cognitive neuroscience. Psychology Press, 2015. P. Dayan and F. A. Laurence,” Theoretical neuroscience: computational and mathematical modeling of neural systems”, Journal of Cognitive Neuroscience, vol.15, no.1, pp.154-155.
  3. T. C. Napier, J. C. Corvol, A. A. Grace, J.D. Roitman, J. Rowe, J., V. Voon and A. P. Strafella,” Linking neuroscience with modern concepts of impulse control disorders in Parkinson's disease”, Movement Disorders, vol.30, pp.141-149, 2015. M. Filippi, fMRI techniques and protocols. Humana press, 2016. A. Poldrack Russell, “The role of fMRI in cognitive neuroscience: where do we stand?”, Current opinion in neurobiology, 18223-227, 2008. U. Goswami, “Neuroscience, education and special education”, British Journal of Special Education, vol.31, pp.175-183, 2004.
  4. Y. Immordino, M. Helen, A. Damasio, "We feel, therefore we learn: The relevance of affective and social neuroscience to education", Mind, brain, and education, vol.1, pp. 3-10, 2007. B. Aberšek, Cognitive science in education and alternative teaching strategies. Cambridge Scholars Publishing, 2017.
  5. B. Sung, N. J. Wilson, J. H. Yun, and E. J. LEE, “What can neuroscience offer marketing research?”, Asia Pacific Journal of Marketing and Logistics, pp. 4-23, 2019. S. Ullman, “Using neuroscience to develop artificial intelligence”, Science, vol. 363, no. 6428, pp. 692-693, 2019.
  6. G. Deco, E. T. Rolls, Computational neuroscience of vision. Oxford university press, 2007. D. Dunning,” The Dunning–Kruger effect: On being ignorant of one's own ignorance”, In Advances in experimental social psychology, vol.44, pp. 247-296, 2011.
  7. G. Pennycook, R. M. Ross, D. J. Koehler and J. A., Fugelsang,” Dunning–Kruger effects in reasoning: Theoretical implications of the failure to recognize incompetence”, Psychonomic Bulletin & Review, vol.24, no.6, pp. 1774-1784, 2017.
  8. N. Altman, M. Krzywinski, ”The curse (s) of dimensionality”, Nat Methods, vol.15, pp. 399-400, 2018. V. Zelenyuk, “Aggregation of inputs and outputs prior to Data Envelopment Analysis under big data”, European Journal of Operational Research, vol.282, no.1, pp. 172-187, 2020.
  9. M. Ramscar, P. Hendrix, C. Shaoul, P. Milin, H. Baayen, “The myth of cognitive decline: Non‐linear dynamics of lifelong learning”, Topics in cognitive science, vol.6, no.1, pp.5-42, 2014. Y. Wang, and V. Chiew, “On the