L. Von-ahn, M. Blum, N. J. Hopper, and J. Langford, Captcha: Using hard ai problems for security, Advances in Cryptology-Eurocrypt, pp.294-311, 2003.

R. Amthauer, Intelligenz-Struktur-Test, 2000.

M. Belk, P. Germanakos, C. Fidas, A. Holzinger, and G. Samaras, Towards the personalization of captcha mechanisms based on individual differences in cognitive processing, Human Factors in Computing and Informatics, Lecture Notes in Computer Science, vol.7946, pp.409-426, 2013.

A. Binet, L'étude expérimentale de l'intelligence. Schleicher fréres & cie, 1903.

J. S. Bruner, Chapter 2: On attributes and concepts, A study of thinking, pp.25-49, 1956.

M. Campbell, A. J. Hoane, and F. H. Hsu, Deep blue, Artificial intelligence, vol.134, issue.1-2, pp.129-130, 2002.

A. Conway and K. Kovacs, New and emerging models of human intelligence, Cognitive Science, 2015.

P. Dollar, Z. Tu, and S. Belongie, Supervised learning of edges and object boundaries, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), pp.1964-1971, 2006.

,

D. L. Dowe and J. Hernndez-orallo, Iq tests are not for machines, yet, Intelligence, vol.40, issue.2, pp.77-81, 2012.

D. Ferrucci, A. Levas, S. Bagchi, D. Gondek, and E. T. Mueller, Watson: beyond jeopardy!, Artificial Intelligence, vol.199, pp.93-105, 2013.

,

J. Funke, Handbook of Anthropometry, 2006.

H. Gardner, Changing minds. The art and science of changing our own and other people's minds, 2004.

A. Holzinger, C. Biemann, C. S. Pattichis, and D. B. Kell, What do we need to build explainable ai systems for the medical domain?, 2017.

A. Holzinger, M. D. Kickmeier-rust, and H. Müller, Human explanation profiles for random visual patterns as a benchmark for explainable ai, 2019.

A. Holzinger, G. Langs, H. Denk, K. Zatloukal, and H. Müller, Causability and explainability of ai in medicine, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019.

A. Holzinger, M. Plass, K. Holzinger, G. C. Crisan, C. M. Pintea et al., A glass-box interactive machine learning approach for solving np-hard problems with the human-in-the-loop, 2017.

J. L. Horn and R. B. Cattell, Refinement and test of the theory of fluid and crystallized general intelligences, Journal of Educational Psychology, vol.57, pp.253-270, 1966.

D. H. Hubel and T. N. Wiesel, Receptive fields, binocular interaction and functional architecture in the cat's visual cortex, The Journal of Physiology, vol.160, pp.106-154, 1962.

E. B. Hunt, Concept learning: An information processing problem, 1962.

A. O. Jger, Validitt von intelligenztests, Diagnostica, vol.32, pp.272-289, 1986.

K. Koffka, Principles of Gestalt Psychology, 1935.

K. Kovacs and A. Conway, Process overlap theory: a unified account of human intelligence, Psychological Inquiry, vol.27, pp.151-177, 2016.

H. I. Kundel and C. F. Nodine, A visual concept shapes image perception, Radiology, vol.146, issue.2, 1983.

B. M. Lake, R. Salakhutdinov, and J. B. Tenenbaum, Human-level concept learning through probabilistic program induction, Science, vol.350, issue.6266, pp.1332-1338, 2015.

P. S. Laplace, Mémoire sur les probabilités. Mémoires de lAcadémie Royale des sciences de Paris 1778, pp.227-332, 1781.

Y. Lecun, Y. Bengio, and G. Hinton, Deep learning, Nature, vol.521, issue.7553, pp.436-444, 2015.

E. L. Leeuwenberg and F. Boselie, Against the likelihood principle in visual form perception, Psychological Review, vol.95, issue.4, pp.485-491, 1988.

S. Legg and M. Hutter, Universal intelligence: A definition of machine intelligence, Minds and machines, vol.17, issue.4, pp.391-444, 2007.

L. Li, X. Wang, K. Wang, Y. Lin, J. Xin et al., Parallel testing of vehicle intelligence via virtual-real interaction, Science Robotics, vol.4, issue.eaaw4106, pp.1-3, 2019.

E. A. Locke, Why emotional intelligence is an invalid concept, Journal of Organizational Behavior, vol.26, pp.425-431, 2005.

T. M. Mitchell, Machine learning, 1997.

H. Müller and A. Holzinger, Kandinsky patterns, 2019.

R. Nambiar, Towards an industry standard for benchmarking artificial intelligence systems, 34th International Conference on Data Engineering (ICDE 2018). p. Pages. IEEE, 2018.

R. Nambiar, S. Ghandeharizadeh, G. Little, C. Boden, and A. Dholakia, Industry panel on defining industry standards for benchmarking artificial intelligence. In: Performance Evaluation and Benchmarking for the Era of Artificial Intelligence. p. Pages, 2019.

P. Pirolli and D. M. Russell, Introduction to this special issue on sensemaking, Human-Computer Interaction, vol.26, pp.1-8, 2011.

V. R. Preed, Handbook of Anthropometry, 2012.

J. Raven, The raven's progressive matrices: change and stability over culture and time, Cognitive psychology, vol.41, issue.1, pp.1-48, 2000.

,

J. C. Raven and J. H. Court, Raven's progressive matrices and vocabulary scales, 1998.

X. Ren and J. Malik, Learning a classification model for segmentation, Ninth IEEE International Conference on Computer Vision (ICCV), pp.10-17, 2003.

W. Samek, T. Wiegand, and K. R. Müller, Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models, 2017.

A. Santoro, F. Hill, D. Barrett, A. Morcos, and T. Lillicrap, Measuring abstract reasoning in neural networks, 35th International Conference on Machine Learning, pp.4477-4486, 2018.

D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre et al., Mastering the game of go with deep neural networks and tree search, Nature, vol.529, issue.7587, pp.484-489, 2016.

C. Spearman, General intelligence," objectively determined and measured, The American Journal of Psychology, vol.15, issue.2, pp.201-292, 1904.

J. B. Tenenbaum, Bayesian modeling of human concept learning, Advances in neural information processing systems, pp.59-68, 1999.

A. M. Turing, Computing machinery and intelligence, Mind, vol.59, issue.236, pp.433-460, 1950.

S. Urbina, Chapter 2: Tests of intelligence, The Cambridge Handbook of Intelligence, 2011.

L. Uusitalo, J. Simola, and J. Kuisma, Perception of abstract and representative visual art. tba, 2009.

D. Wechsler, The Measurement and Appraisal of Adult Intelligence, 1958.

M. Wertheimer, Laws of organization in perceptual forms, pp.71-88, 1938.

H. Yanagisawa, How does expectation affect sensory experience? a theory of relativity in perception, 5th International Symposium on Affective Science and Engineering ISASE 2019, pp.1-4, 2019.