{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:56:20Z","timestamp":1742990180326,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031824869"},{"type":"electronic","value":"9783031824876"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-82487-6_14","type":"book-chapter","created":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T14:45:23Z","timestamp":1741013123000},"page":"191-206","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Inference of\u00a0Abstraction for\u00a0Human-Like Logical Reasoning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7622-4428","authenticated-orcid":false,"given":"Hiroyuki","family":"Kido","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,4]]},"reference":[{"issue":"1","key":"14_CR1","first-page":"53","volume":"87","author":"RA Adams","year":"2016","unstructured":"Adams, R.A., Huys, Q.J.M., Roiser, J.P.: Computational psychiatry: towards a mathematically informed understanding of mental illness. J. Neurol. Neurosurg. Psychiatry 87(1), 53\u201363 (2016)","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"14_CR2","doi-asserted-by":"publisher","unstructured":"Carnielli, W., Coniglio, M.E., Marcos, J.: Logics of Formal Inconsistency, vol.\u00a014, pp. 1\u201393. Springer Dordrecht, Dordrecht, Netherlands, handbook of philosophical logic, 2nd edn. (2007). https:\/\/doi.org\/10.1007\/978-1-4020-6324-4_1","DOI":"10.1007\/978-1-4020-6324-4_1"},{"key":"14_CR3","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1038\/s41562-022-01516-2","volume":"7","author":"C Caucheteux","year":"2023","unstructured":"Caucheteux, C., Gramfort, A., King, J.R.: Evidence of a predictive coding hierarchy in the human brain listening to speech. Nat. Hum. Behav. 7, 430\u2013441 (2023)","journal-title":"Nat. Hum. Behav."},{"key":"14_CR4","unstructured":"Friedman, N., Getoor, L., Koller, D., Pfeffer, A.: Learning probabilistic relational models. In: Proceedings of the 16th International Joint Conference on Artificial Intelligence, pp. 1297\u20131304 (1996)"},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1038\/nrn2787","volume":"11","author":"K Friston","year":"2010","unstructured":"Friston, K.: The free-energy principle: a unified brain theory? Nat. Rev. Neurosci. 11, 127\u2013138 (2010)","journal-title":"Nat. Rev. Neurosci."},{"key":"14_CR6","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7432.001.0001","volume-title":"Introduction to Statistical Relational Learning","author":"L Getoor","year":"2007","unstructured":"Getoor, L., Taskar, B.: Introduction to Statistical Relational Learning. MIT Press, Cambridge, MA (2007)"},{"issue":"1358","key":"14_CR7","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1098\/rstb.1997.0095","volume":"352","author":"RL Gregory","year":"1997","unstructured":"Gregory, R.L.: Knowledge in perception and illusion. Philos. Trans. R. Soc. Lond. B Biol. Sci. 352(1358), 1121\u20131127 (1997)","journal-title":"Philos. Trans. R. Soc. Lond. B Biol. Sci."},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"von Helmholtz, H.: Helmholtz\u2019s treatise on physiological optics. Opt. Soc. Am. 3 (1925)","DOI":"10.1037\/13536-000"},{"key":"14_CR9","volume-title":"The Predictive Mind","author":"J Hohwy","year":"2014","unstructured":"Hohwy, J.: The Predictive Mind. Oxford University Press, University of Oxford (2014)"},{"issue":"10","key":"14_CR10","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.1016\/j.visres.2008.09.007","volume":"49","author":"L Itti","year":"2009","unstructured":"Itti, L., Baldi, P.: Bayesian surprise attracts human attention. Vision. Res. 49(10), 1295\u20131306 (2009)","journal-title":"Vision. Res."},{"key":"14_CR11","unstructured":"Kido, H.: Inference of abstraction for human-like probabilistic reasoning. In: The 10th International Conference on machine Learning, Optimization & Data science - LOD and Symposium on Artificial Intelligence & Neuroscience (ACAIN 2024) (In press) (2024)"},{"key":"14_CR12","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1016\/j.tins.2004.10.007","volume":"27","author":"DC Knill","year":"2004","unstructured":"Knill, D.C., Pouget, A.: The Bayesian brain: the role of uncertainty in neural coding and computation. Trends Neurosci. 27, 712\u2013719 (2004)","journal-title":"Trends Neurosci."},{"key":"14_CR13","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511984037","volume-title":"Perception as Bayesian Inference","author":"DC Knill","year":"1996","unstructured":"Knill, D.C., Richards, W.: Perception as Bayesian Inference. Cambridge University Press, Cambridge University (1996)"},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"1434","DOI":"10.1364\/JOSAA.20.001434","volume":"20","author":"TS Lee","year":"2003","unstructured":"Lee, T.S., Mumford, D.: Hierarchical Bayesian inference in the visual cortex. J. Opt. Soc. Am. 20, 1434\u20131448 (2003)","journal-title":"J. Opt. Soc. Am."},{"key":"14_CR15","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/BF03037227","volume":"13","author":"S Muggleton","year":"1995","unstructured":"Muggleton, S.: Inverse entailment and progol. N. Gener. Comput. 13, 245\u2013286 (1995)","journal-title":"N. Gener. Comput."},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Muggleton, S., Buntine, W.: Machine invention of first-order predicates by inverting resolution. In: Proceedings of the 5th International Conference on Machine Learning, pp. 339\u2013352 (1988)","DOI":"10.1016\/B978-0-934613-64-4.50040-2"},{"key":"14_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-62927-0","volume-title":"Foundation of Inductive Logic Programming","author":"SH Nienhuys-Cheng","year":"1997","unstructured":"Nienhuys-Cheng, S.H., Wolf, R.D.: Foundation of Inductive Logic Programming. Springer, Berlin, Heidelberg, Heidelberg (1997). https:\/\/doi.org\/10.1007\/3-540-62927-0"},{"key":"14_CR18","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/0004-3702(86)90031-7","volume":"28","author":"NJ Nilsson","year":"1986","unstructured":"Nilsson, N.J.: Probabilistic logic. Artif. Intell. 28, 71\u201387 (1986)","journal-title":"Artif. Intell."},{"key":"14_CR19","unstructured":"Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann; 1st edition, Burlington, Massachusetts (1988)"},{"issue":"10","key":"14_CR20","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1016\/j.tics.2012.08.009","volume":"16","author":"E Pellicano","year":"2012","unstructured":"Pellicano, E., Burr, D.: When the world becomes \u2018too real\u2019: a Bayesian explanation of autistic perception. Trends Cogn. Sci. 16(10), 504\u2013510 (2012)","journal-title":"Trends Cogn. Sci."},{"key":"14_CR21","doi-asserted-by":"publisher","unstructured":"Priest, G.: Paraconsistent logic, vol.\u00a06, pp. 287\u2013393. Springer Dordrecht, Dordrecht, Netherlands, Handbook of Philosophical Logic, 2nd edn. (2002). https:\/\/doi.org\/10.1007\/978-94-017-0460-1_4","DOI":"10.1007\/978-94-017-0460-1_4"},{"issue":"16","key":"14_CR22","doi-asserted-by":"publisher","first-page":"1843","DOI":"10.1097\/01.wnr.0000183900.92901.fc","volume":"16","author":"RPN Rao","year":"2005","unstructured":"Rao, R.P.N.: Bayesian inference and attentional modulation in the visual cortex. NeuroReport 16(16), 1843\u20131848 (2005)","journal-title":"NeuroReport"},{"key":"14_CR23","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1038\/4580","volume":"2","author":"RPN Rao","year":"1999","unstructured":"Rao, R.P.N., Ballard, D.H.: Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nat. Neurosci. 2, 79\u201387 (1999)","journal-title":"Nat. Neurosci."},{"key":"14_CR24","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10994-006-5833-1","volume":"62","author":"M Richardson","year":"2006","unstructured":"Richardson, M., Domingos, P.: Markov logic networks. Mach. Learn. 62, 107\u2013136 (2006)","journal-title":"Mach. Learn."},{"key":"14_CR25","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/S0004-3702(99)00105-8","volume":"117","author":"W R\u00f6dder","year":"2000","unstructured":"R\u00f6dder, W.: Conditional logic and the principle of entropy. Artif. Intell. 117, 83\u2013106 (2000)","journal-title":"Artif. Intell."},{"key":"14_CR26","unstructured":"Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 4th edn. Pearson Education Inc., London, England (2020)"},{"key":"14_CR27","doi-asserted-by":"crossref","unstructured":"Sato, T.: A statistical learning method for logic programs with distribution semantics. In: Proceedings of the 12th International Conference on Logic Programming, pp. 715\u2013729 (1995)","DOI":"10.7551\/mitpress\/4298.003.0069"},{"key":"14_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.applanim.2021.105338","volume":"240","author":"GE Smith","year":"2021","unstructured":"Smith, G.E., Chouinard, P.A., Byosiere, S.E.: If I fits I sits: a citizen science investigation into illusory contour susceptibility in domestic cats (Felis silvestris catus). Appl. Anim. Behav. Sci. 240, 105338 (2021)","journal-title":"Appl. Anim. Behav. Sci."},{"issue":"7","key":"14_CR29","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/j.tics.2006.05.009","volume":"10","author":"JB Tenenbaum","year":"2006","unstructured":"Tenenbaum, J.B., Griffiths, T.L., Kemp, C.: Theory-based Bayesian models of inductive learning and reasoning. Trends Cogn. Sci. 10(7), 309\u2013318 (2006)","journal-title":"Trends Cogn. Sci."}],"container-title":["Lecture Notes in Computer Science","Machine Learning, Optimization, and Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-82487-6_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T14:45:27Z","timestamp":1741013127000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-82487-6_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031824869","9783031824876"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-82487-6_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"4 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACAIN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Advanced Course and Symposium on Artificial Intelligence and Neuroscience","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Castiglione della Pescaia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"acain2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/acain2024.icas.events\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}