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Bongard problem
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==Scientific works on Bongard problems== * Bongard, M. M. (1970). Pattern Recognition. Rochelle Park, N.J.: Hayden Book Co., Spartan Books. (Original publication: Проблема Узнавания, Nauka Press, Moscow, 1967) * Maksimov, V. V. (1975). Система, обучающаяся классификации геометрических изображений (A system capable of learning to classify geometric images; as translated from the Russian by Marina Eskina), in Моделирование Обучения и Поведения (Modeling of Learning and Behavior, in Russian), M.S. Smirnov, V.V. Maksimov (eds.), Nauka, Moskva. * Hofstadter, D. R. (1979). Gödel, Escher, Bach: an Eternal Golden Braid. New York: Basic Books. * Montalvo, F. S. (1985). Diagram Understanding: the Intersection of Computer Vision and Graphics. M.I.T. Artificial Intelligence Laboratory, A. I. Memo 873, November 1985. * Saito, K., and Nakano, R. (1993) A Concept Learning Algorithm with Adaptive Search. Proceedings of Machine Intelligence 14 Workshop. Oxford University Press. See pp. 347–363. * Hofstadter, D. R. and the Fluid Analogies Research Group (1995). [[Fluid Concepts and Creative Analogies|Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought]]. New York: Basic Books. * Hofstadter, D. R. (1995). On Seeing A’s and Seeing As. Stanford Humanities Review 4/2 pp. 109–121. * Hofstadter, D. R. (1997). Le Ton beau de Marot. New York: Basic Books. * Linhares, A. (2000). [http://app.ebape.fgv.br/comum/arq/Linhares2.pdf A glimpse at the metaphysics of Bongard problems] {{Webarchive|url=https://web.archive.org/web/20110811145352/http://app.ebape.fgv.br/comum/arq/Linhares2.pdf |date=2011-08-11 }}. [[Artificial Intelligence (journal)|Artificial Intelligence]], Volume 121, Issue 1-2, pp. 251–270. * Foundalis, H. (2006). Phaeaco: A Cognitive Architecture Inspired by Bongard’s Problems. Doctoral dissertation, Indiana University, Center for Research on Concepts and Cognition (CRCC), Bloomington, Indiana. Foundalis left the field in 2008 due to ethical concerns regarding machines that can pass as human, and restarted in 2011 having considered that human suicide bombers are already here anyway.<ref>{{cite web|url=http://www.foundalis.com/soc/why_no_more_Bongard.html|accessdate=28 June 2020|title=Why I stopped working on the Bongard Problems|author=Harry Foundalis}}</ref> * Anastasiade, J., and Szalwinski, C. (2010). Building Computer-Based Tutors to Help Learners Solve Ill-Structured Problems. In [http://aace.org/conf/edmedia Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications 2010]. Toronto, Ontario, Canada: Association for the Advancement of Computing in Education. pp. 3726–3732. * Nie, W. and NVIDIA Research (2020). [https://papers.nips.cc/paper/2020/file/bf15e9bbff22c7719020f9df4badc20a-Paper.pdf Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning]. [[Conference_on_Neural_Information_Processing_Systems|Advances in Neural Information Processing Systems]], Volume 33, pp. 16468-16480. * Jiang, H., Ma, X. and NVIDIA Research (2022). [https://openaccess.thecvf.com/content/CVPR2022/papers/Jiang_Bongard-HOI_Benchmarking_Few-Shot_Visual_Reasoning_for_Human-Object_Interactions_CVPR_2022_paper.pdf Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions]. [[Conference_on_Computer_Vision_and_Pattern_Recognition|Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)]], 2022. * Spratley, S., Ehinger, K., and Miller, T. (2023). [https://openaccess.thecvf.com/content/CVPR2023/papers/Spratley_Unicode_Analogies_An_Anti-Objectivist_Visual_Reasoning_Challenge_CVPR_2023_paper.pdf Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge]. [[Conference_on_Computer_Vision_and_Pattern_Recognition|Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)]], 2023.
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