{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:16:29Z","timestamp":1743041789464,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811975097"},{"type":"electronic","value":"9789811975103"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-981-19-7510-3_3","type":"book-chapter","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T22:02:34Z","timestamp":1670623354000},"page":"35-48","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicate Logic Network: Vision Concept Formation"],"prefix":"10.1007","author":[{"given":"Bang","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maonian","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaojun","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,10]]},"reference":[{"issue":"7553","key":"3_CR1","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Stammer, W., Schramowski, P., Kersting, K.: Right for the right concept: revising neuro-symbolic concepts by interacting with their explanations. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3619\u20133629 (2021)","DOI":"10.1109\/CVPR46437.2021.00362"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"De Raedt, L., Dumancic, S., Manhaeve, R., Marram, G.: From statistical relational to neuro-symbolic artificial intelligence. In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), pp. 4943\u20134950 (2021)","DOI":"10.24963\/ijcai.2020\/688"},{"key":"3_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2021.103602","volume":"302","author":"E van Krieken","year":"2022","unstructured":"van Krieken, E., Acar, E., van Harmelen, F.: Analyzing differentiable fuzzy logic operators. Artif. Intell. 302, 103602 (2022)","journal-title":"Artif. Intell."},{"key":"3_CR5","unstructured":"Bengio, Y.: From system 1 deep learning to system 2 deep learning. In: Thirty-third Conference on Neural Information Processing Systems (2019)"},{"key":"3_CR6","unstructured":"Dehaene, S.: How we learn: why brains learn better than any machine... for now. Penguin (2021)"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Jiang, Z., Zheng, Y., Tang, H., Zhou, H.: Variational deep embedding: an unsupervised and generative approach to clustering. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp. 1965\u20131972 (2017)","DOI":"10.24963\/ijcai.2017\/273"},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1613\/jair.1.11661","volume":"68","author":"P Hohenecker","year":"2020","unstructured":"Hohenecker, P., Lukasiewicz, T.: Ontology reasoning with deep neural networks. J. Artif. Intell. Res. 68, 503\u2013540 (2020)","journal-title":"J. Artif. Intell. Res."},{"issue":"5","key":"3_CR9","doi-asserted-by":"publisher","first-page":"823","DOI":"10.3233\/SW-190363","volume":"10","author":"B Makni","year":"2019","unstructured":"Makni, B., Hendler, J.: Deep learning for noise-tolerant RDFS reasoning. Semantic Web 10(5), 823\u2013862 (2019)","journal-title":"Semantic Web"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Johnson, J., et al.: Inferring and executing programs for visual reasoning. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2989\u20132998 (2017)","DOI":"10.1109\/ICCV.2017.325"},{"key":"3_CR11","unstructured":"Yi, K., Wu, J., Gan, C., Torralba, A., Kohli, P., Tenenbaum, J.B.: Neural-symbolic VQA: disentangling reasoning from vision and language understanding. In: Proceedings of the 32nd International Conference on Neural Information Processing Systems, pp. 1039\u20131050 (2018)"},{"key":"3_CR12","unstructured":"Yang, F., Yang, Z., Cohen, W.W.: Differentiable learning of logical rules for knowledge base reasoning. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 2316\u20132325 (2017)"},{"key":"3_CR13","unstructured":"Dong, H., Mao, J., Lin, T., Wang, C., Li, L., Zhou, D.: Neural logic machines. In: International Conference on Learning Representations (2018)"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Shi, S., Chen, H., Ma, W., Mao, J., Zhang, M., Zhang, Y.: Neural logic reasoning. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 1365\u20131374 (2020)","DOI":"10.1145\/3340531.3411949"},{"key":"3_CR15","first-page":"11525","volume":"33","author":"F Locatello","year":"2020","unstructured":"Locatello, F., et al.: Object-centric learning with slot attention. Adv. Neural. Inf. Process. Syst. 33, 11525\u201311538 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Wu, J., Tenenbaum, J.B., Kohli, P.: Neural scene de-rendering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 699\u2013707 (2017)","DOI":"10.1109\/CVPR.2017.744"},{"key":"3_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/978-3-319-68288-4_41","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"S Thoma","year":"2017","unstructured":"Thoma, S., Rettinger, A., Both, F.: Towards holistic concept representations: embedding relational knowledge, visual attributes, and distributional word semantics. In: d\u2019Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10587, pp. 694\u2013710. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68288-4_41"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Mascharka, D., Tran, P., Soklaski, R., Majumdar, A.: Transparency by design: closing the gap between performance and interpretability in visual reasoning. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4942\u20134950 (2018)","DOI":"10.1109\/CVPR.2018.00519"},{"key":"3_CR19","unstructured":"Hudson, D.A, Manning, C.D.: Compositional attention networks for machine reasoning. In: International Conference on Learning Representations (2018)"},{"key":"3_CR20","unstructured":"Mao, J., Gan, C., Kohli, P., Tenenbaum, J.B., Wu, J.: The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision. In: International Conference on Learning Representations (2019)"},{"key":"3_CR21","unstructured":"Yi, K., et al.: CLEVRER: collision events for video representation and reasoning. In: International Conference on Learning Representations (2019)"}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence Logic and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-7510-3_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T15:10:50Z","timestamp":1716909050000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-7510-3_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811975097","9789811975103"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-7510-3_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AILA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on AI Logic and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aila2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ailasym.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3~4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3~4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}