{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:48:27Z","timestamp":1743014907560,"version":"3.40.3"},"publisher-location":"Cham","reference-count":53,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030937577"},{"type":"electronic","value":"9783030937584"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-93758-4_14","type":"book-chapter","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T18:05:41Z","timestamp":1641492341000},"page":"127-138","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Categorical Artificial Intelligence: The Integration of\u00a0Symbolic and\u00a0Statistical AI for\u00a0Verifiable, Ethical, and\u00a0Trustworthy AI"],"prefix":"10.1007","author":[{"given":"Yoshihiro","family":"Maruyama","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,6]]},"reference":[{"key":"14_CR1","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.inffus.2019.12.012","volume":"58","author":"AB Arrieta","year":"2020","unstructured":"Arrieta, A.B., et al.: Explainable artificial intelligence (XAI). Inf. Fus. 58, 82\u2013115 (2020)","journal-title":"Inf. Fus."},{"key":"14_CR2","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/978-3-642-12821-9_2","volume":"813","author":"J Baez","year":"2011","unstructured":"Baez, J.: Physics, topology, logic and computation: a Rosetta stone. Lect. Notes Phys. 813, 95\u2013174 (2011)","journal-title":"Lect. Notes Phys."},{"key":"14_CR3","doi-asserted-by":"publisher","first-page":"1750028","DOI":"10.1142\/S0129055X17500283","volume":"29","author":"J Baez","year":"2017","unstructured":"Baez, J., Pollard, B.: A compositional framework for reaction networks. Rev. Math. Phys. 29, 1750028 (2017)","journal-title":"Rev. Math. Phys."},{"key":"14_CR4","unstructured":"Besold, T.R., et al.: Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. arXiv:1711.03902 (2017)"},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1126\/science.aal4230","volume":"356","author":"A Caliskan","year":"2017","unstructured":"Caliskan, A., et al.: Semantics derived automatically from language corpora contain human-like biases. Science 356, 183\u2013186 (2017)","journal-title":"Science"},{"key":"14_CR6","unstructured":"Chollet, F.: On the Measure of Intelligence. arXiv:1911.01547 (2019)"},{"key":"14_CR7","unstructured":"Coecke, B.: Automated quantum reasoning: non-logic - semi-logic - hyper-logic. In: Proceedings of Quantum Interaction, pp. 31\u201338 (2007)"},{"key":"14_CR8","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1080\/00107510903257624","volume":"51","author":"B Coecke","year":"2009","unstructured":"Coecke, B.: Quantum picturalism. Contemp. Phys. 51, 59\u201383 (2009)","journal-title":"Contemp. Phys."},{"key":"14_CR9","first-page":"345","volume":"36","author":"B Coecke","year":"2010","unstructured":"Coecke, B., et al.: Mathematical foundations for a compositional distributional model of meaning. Linguist. Anal. 36, 345\u2013384 (2010)","journal-title":"Linguist. Anal."},{"key":"14_CR10","unstructured":"Coecke, B.: The logic of quantum mechanics - Take II. arXiv:1204.3458 (2012)"},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Coecke, B., Kissinger, A.: Picturing quantum processes. In: CUP (2017)","DOI":"10.1017\/9781316219317"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Cruttwell, G., et al.: Categorical Foundations of Gradient-Based Learning. arXiv:2103.01931 (2021)","DOI":"10.1007\/978-3-030-99336-8_1"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"de Felice, G., et al.: Discopy: monoidal categories in Python. In: Proceedings of ACT 2020, pp. 183\u2013197 (2020)","DOI":"10.4204\/EPTCS.333.13"},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1145\/3241978","volume":"62","author":"P Domingos","year":"2019","unstructured":"Domingos, P., Lowd, D.: Unifying logical and statistical AI with Markov logic. Commun. ACM 62, 74\u201383 (2019)","journal-title":"Commun. ACM"},{"key":"14_CR15","unstructured":"Fong, B., et al.: Backprop as functor. In: Proceedings of LICS 2019, pp. 1\u201313 (2019)"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Fong, B., Spivak, D.I.: An invitation to applied category theory: seven sketches in compositionality. In: CUP (2019)","DOI":"10.1017\/9781108668804"},{"key":"14_CR17","doi-asserted-by":"publisher","first-page":"107239","DOI":"10.1016\/j.aim.2020.107239","volume":"370","author":"T Fritz","year":"2020","unstructured":"Fritz, T.: A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics. Adv. Math. 370, 107239 (2020)","journal-title":"Adv. Math."},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"Gaboardi, M., et al.: Graded Hoare Logic and its Categorical Semantics. arXiv:2007.11235 (2020)","DOI":"10.1007\/978-3-030-72019-3_9"},{"key":"14_CR19","unstructured":"Grefenstette, E., Sadrzadeh, M.: Experimental support for a categorical compositional distributional model of meaning. In: Proceedings of EMNLP\u201911, pp. 1394\u20131404 (2011)"},{"key":"14_CR20","volume-title":"Categorical Logic and Type Theory","author":"B Jacobs","year":"1999","unstructured":"Jacobs, B.: Categorical Logic and Type Theory. Elsevier, Amsterdam (1999)"},{"key":"14_CR21","unstructured":"Kartsaklis, D.: Tensor-based models of natural language semantics. In: Lecture Slides at the Workshop on Tensors, their Decomposition, and Applications (2016)"},{"key":"14_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-27950-4","volume-title":"Categories and Sheaves","author":"M Kashiawara","year":"2006","unstructured":"Kashiawara, M., Schapira, P.: Categories and Sheaves. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/3-540-27950-4"},{"key":"14_CR23","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1111\/j.1746-8361.1969.tb01194.x","volume":"23","author":"FW Lawvere","year":"1969","unstructured":"Lawvere, F.W.: Adjointness in foundations. Dialectica 23, 281\u2013296 (1969)","journal-title":"Dialectica"},{"key":"14_CR24","unstructured":"Lorenz, R., et al.: QNLP in practice. arXiv:2102.12846 (2021)"},{"key":"14_CR25","doi-asserted-by":"publisher","first-page":"273","DOI":"10.3233\/FI-2011-387","volume":"106","author":"Y Maruyama","year":"2011","unstructured":"Maruyama, Y.: Dualities for algebras of Fitting\u2019s many-valued modal logics. Fundamenta Informaticae 106, 273\u2013294 (2011)","journal-title":"Fundamenta Informaticae"},{"key":"14_CR26","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1016\/j.jpaa.2011.07.002","volume":"216","author":"Y Maruyama","year":"2012","unstructured":"Maruyama, Y.: Natural duality, modality, and coalgebra. J. Pure Appl. Algebra 216, 565\u2013580 (2012)","journal-title":"J. Pure Appl. Algebra"},{"key":"14_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1007\/978-3-642-40206-7_17","volume-title":"Algebra and Coalgebra in Computer Science","author":"Y Maruyama","year":"2013","unstructured":"Maruyama, Y.: From operational chu duality to coalgebraic quantum symmetry. In: Heckel, R., Milius, S. (eds.) CALCO 2013. LNCS, vol. 8089, pp. 220\u2013235. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40206-7_17"},{"key":"14_CR28","doi-asserted-by":"crossref","unstructured":"Maruyama, Y.: Duality theory and categorical universal logic: with emphasis on quantum structures. In: Proceedings of the Tenth Quantum Physics and Logic Conference, EPTCS, vol. 171, pp. 100\u2013112 (2014)","DOI":"10.4204\/EPTCS.171.10"},{"key":"14_CR29","series-title":"Synthese Library","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/978-3-319-26485-1_8","volume-title":"Fundamental Issues of Artificial Intelligence","author":"Y Maruyama","year":"2016","unstructured":"Maruyama, Y.: AI, quantum information, and external semantic realism: Searle\u2019s observer-relativity and Chinese room, revisited. In: M\u00fcller, V.C. (ed.) Fundamental Issues of Artificial Intelligence. SL, vol. 376, pp. 115\u2013127. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-26485-1_8"},{"key":"14_CR30","doi-asserted-by":"publisher","first-page":"3483","DOI":"10.1007\/s11229-015-0932-9","volume":"193","author":"Y Maruyama","year":"2016","unstructured":"Maruyama, Y.: Prior\u2019s tonk, notions of logic, and levels of inconsistency: vindicating the pluralistic unity of science in the light of categorical logical positivism. Synthese 193, 3483\u20133495 (2016)","journal-title":"Synthese"},{"key":"14_CR31","unstructured":"Maruyama, Y.: Meaning and duality: from categorical logic to quantum physics. DPhil Thesis, University of Oxford (2017)"},{"key":"14_CR32","series-title":"Studies in Applied Philosophy, Epistemology and Rational Ethics","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/978-3-319-96448-5_20","volume-title":"Philosophy and Theory of Artificial Intelligence 2017","author":"Y Maruyama","year":"2018","unstructured":"Maruyama, Y.: quantum pancomputationalism and statistical data science: from symbolic to statistical AI, and to quantum AI. In: M\u00fcller, V.C. (ed.) PT-AI 2017. SAPERE, vol. 44, pp. 207\u2013211. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-96448-5_20"},{"key":"14_CR33","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-3-030-34974-5_14","volume-title":"Modeling and Using Context","author":"Y Maruyama","year":"2019","unstructured":"Maruyama, Y.: Compositionality and contextuality: the symbolic and statistical theories of meaning. In: Bella, G., Bouquet, P. (eds.) CONTEXT 2019. LNCS (LNAI), vol. 11939, pp. 161\u2013174. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-34974-5_14"},{"key":"14_CR34","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1007\/978-3-030-49342-4_45","volume-title":"Intelligent Systems Design and Applications","author":"Y Maruyama","year":"2021","unstructured":"Maruyama, Y.: The categorical integration of symbolic and statistical AI: quantum NLP and applications to cognitive and machine bias problems. In: Abraham, A., Siarry, P., Ma, K., Kaklauskas, A. (eds.) ISDA 2019. AISC, vol. 1181, pp. 466\u2013476. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-49342-4_45"},{"key":"14_CR35","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1007\/978-3-030-49342-4_52","volume-title":"Intelligent Systems Design and Applications","author":"Y Maruyama","year":"2021","unstructured":"Maruyama, Y.: Post-truth AI and big data epistemology: from the genealogy of artificial intelligence to the nature of data science as a new kind of science. In: Abraham, A., Siarry, P., Ma, K., Kaklauskas, A. (eds.) ISDA 2019. AISC, vol. 1181, pp. 540\u2013549. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-49342-4_52"},{"key":"14_CR36","series-title":"The Frontiers Collection","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1007\/978-3-030-27569-3_20","volume-title":"WITTGENSTEINIAN (adj.)","author":"Y Maruyama","year":"2020","unstructured":"Maruyama, Y.: Quantum physics and cognitive science from a Wittgensteinian perspective: Bohr\u2019s Classicism, Chomsky\u2019s Universalism, and Bell\u2019s Contextualism. In: Wuppuluri, S., da Costa, N. (eds.) WITTGENSTEINIAN (adj.). TFC, pp. 375\u2013407. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-27569-3_20"},{"key":"14_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/978-3-030-67220-1_11","volume-title":"Software Engineering and Formal Methods. SEFM 2020 Collocated Workshops","author":"Y Maruyama","year":"2021","unstructured":"Maruyama, Y.: Symbolic and statistical theories of cognition: towards integrated artificial intelligence. In: Cleophas, L., Massink, M. (eds.) SEFM 2020. LNCS, vol. 12524, pp. 129\u2013146. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-67220-1_11"},{"key":"14_CR38","doi-asserted-by":"publisher","first-page":"2616","DOI":"10.1080\/00927872.2020.1721520","volume":"48","author":"Y Maruyama","year":"2020","unstructured":"Maruyama, Y.: Topological duality via maximal spectrum functor. Commun. Algebra 48, 2616\u20132623 (2020)","journal-title":"Commun. Algebra"},{"key":"14_CR39","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1007\/978-3-030-52152-3_25","volume-title":"Artificial General Intelligence","author":"Y Maruyama","year":"2020","unstructured":"Maruyama, Y.: The conditions of artificial general intelligence: logic, autonomy, resilience, integrity, morality, emotion, embodiment, and embeddedness. In: Goertzel, B., Panov, A.I., Potapov, A., Yampolskiy, R. (eds.) AGI 2020. LNCS (LNAI), vol. 12177, pp. 242\u2013251. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-52152-3_25"},{"key":"14_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystems.2021.104376","volume":"203","author":"Y Maruyama","year":"2021","unstructured":"Maruyama, Y.: Category theory and foundations of life science. Biosytems 203, 104376 (2021)","journal-title":"Biosytems"},{"key":"14_CR41","doi-asserted-by":"crossref","unstructured":"Maruyama, Y.: Learning, development, and emergence of compositionality in natural language processing. In: Proceedings of IEEE ICDL, pp. 1\u20137 (2021)","DOI":"10.1109\/ICDL49984.2021.9515636"},{"key":"14_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1017\/jsl.2021.41","volume":"86","author":"Y Maruyama","year":"2021","unstructured":"Maruyama, Y.: Fibred algebraic semantics for a variety of non-classical first-order logics and topological logical translation. J. Symb. Logic 86, 1\u201327 (2021)","journal-title":"J. Symb. Logic"},{"key":"14_CR43","first-page":"34","volume":"12","author":"ML Minsky","year":"1991","unstructured":"Minsky, M.L.: Logical versus analogical or symbolic versus connectionist or neat versus scruffy. AI Mag. 12, 34\u201351 (1991)","journal-title":"AI Mag."},{"key":"14_CR44","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/978-3-658-12153-2_3","volume-title":"Berechenbarkeit der Welt?","author":"P Norvig","year":"2017","unstructured":"Norvig, P.: On chomsky and the two cultures of statistical learning. In: Pietsch, W., Ott, M. (eds.) Berechenbarkeit der Welt?, pp. 61\u201383. Springer, Wiesbaden (2017). https:\/\/doi.org\/10.1007\/978-3-658-12153-2_3"},{"key":"14_CR45","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/978-3-642-12821-9_4","volume-title":"New Structures for Physics","author":"P Selinger","year":"2011","unstructured":"Selinger, P.: A survey of graphical languages for monoidal categories. In: Coecke, B. (ed.) New Structures for Physics, pp. 289\u2013355. Springer, Heidelbrg (2011). https:\/\/doi.org\/10.1007\/978-3-642-12821-9_4"},{"key":"14_CR46","unstructured":"Sennesh, E.: Learning a Deep Generative Model like a Program: the Free Category Prior. arXiv:2011.11063 (2020)"},{"key":"14_CR47","unstructured":"Thompson, N., et al.: The computational limits of deep learning (2020). arXiv:2007.05558"},{"key":"14_CR48","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1038\/s41586-019-1335-8","volume":"571","author":"V Tshitoyan","year":"2019","unstructured":"Tshitoyan, V., et al.: Unsupervised word embeddings capture latent knowledge from materials science literature. Nature 571, 95\u201398 (2019)","journal-title":"Nature"},{"key":"14_CR49","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1613\/jair.2934","volume":"37","author":"P Turney","year":"2010","unstructured":"Turney, P., Pantel, P.: From frequency to meaning: vector space models of semantics. J. Artif. Intell. Res. 37, 141\u2013188 (2010)","journal-title":"J. Artif. Intell. Res."},{"key":"14_CR50","doi-asserted-by":"crossref","unstructured":"Vicary, J.: The topology of quantum algorithms. In: Proceedings of 28th Annual ACM\/IEEE Symposium on Logic in Computer Science, pp. 93\u2013102 (2013)","DOI":"10.1109\/LICS.2013.14"},{"key":"14_CR51","volume-title":"Philosophical Remarks","author":"L Wittgenstein","year":"1975","unstructured":"Wittgenstein, L.: Philosophical Remarks. Blackwell, Hoboken (1975)"},{"key":"14_CR52","doi-asserted-by":"crossref","unstructured":"Xu, T., Maruyama, Y.: Neural String Diagrams: towards a universal compositional modelling language for categorical deep learning architectures. In: AGI (2021)","DOI":"10.1007\/978-3-030-93758-4_32"},{"key":"14_CR53","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1109\/TKDE.2020.2981333","volume":"34","author":"Z Zhang","year":"2022","unstructured":"Zhang, Z., et al.: Deep learning on graphs: a survey. IEEE Trans. Knowl. Data Eng. 34, 249\u2013270 (2022)","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Lecture Notes in Computer Science","Artificial General Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93758-4_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T20:45:31Z","timestamp":1726433131000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93758-4_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030937577","9783030937584"],"references-count":53,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93758-4_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"6 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial General Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Francisco, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"agi2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/agi-conf.org\/2021\/","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":"50","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":"36","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":"0","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":"72% - 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":"2.6","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":"3.8","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}