{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T07:58:43Z","timestamp":1743148723611,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819916412"},{"type":"electronic","value":"9789819916429"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-99-1642-9_46","type":"book-chapter","created":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T12:14:57Z","timestamp":1681388097000},"page":"540-549","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-human Intelligence in\u00a0Instance-Based Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6312-8947","authenticated-orcid":false,"given":"Aadhar","family":"Gupta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2601-2125","authenticated-orcid":false,"given":"Shashank","family":"Uttrani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3433-1716","authenticated-orcid":false,"given":"Gunjan","family":"Paul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7964-1083","authenticated-orcid":false,"given":"Bhavik","family":"Kanekar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2151-8314","authenticated-orcid":false,"given":"Varun","family":"Dutt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,4,14]]},"reference":[{"key":"46_CR1","unstructured":"Sutton, R.S.: Article title. Introduction: The challenge of reinforcement learning (1999)"},{"key":"46_CR2","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1613\/jair.301","volume":"4","author":"LP Kaelbling","year":"1996","unstructured":"Kaelbling, L.P., Littman, M.L., Moore, A.W.: Reinforcement learning: a survey. J. Artif. Intell. Res. 4, 237\u2013285 (1996)","journal-title":"J. Artif. Intell. Res."},{"key":"46_CR3","unstructured":"Li, Y.: Deep reinforcement learning: an overview. arXiv preprint arXiv:1701.07274 (2017)"},{"key":"46_CR4","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518, 529\u2013533 (2015)","journal-title":"Nature"},{"key":"46_CR5","unstructured":"Borowiec, S.: AlphaGo seals 4-1 victory over Go grandmaster Lee Sedol. The Guardian (2016)"},{"key":"46_CR6","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/S1364-6613(99)01327-3","volume":"3","author":"S Schaal","year":"1999","unstructured":"Schaal, S.: Is imitation learning the route to humanoid robots? Trends Cogn. Sci. 3, 233\u2013242 (1999)","journal-title":"Trends Cogn. Sci."},{"key":"46_CR7","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s10462-018-9646-y","volume":"53","author":"I Kotseruba","year":"2020","unstructured":"Kotseruba, I., Tsotsos, J.K.: 40 years of cognitive architectures: core cognitive abilities and practical applications. Artif. Intell. Rev. 53, 17\u201394 (2020)","journal-title":"Artif. Intell. Rev."},{"key":"46_CR8","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s10462-009-9094-9","volume":"28","author":"H Chong","year":"2020","unstructured":"Chong, H., Tan, A., Ng, G.: Integrated cognitive architectures: a survey. Artif. Intell. Rev. 28, 103\u2013130 (2020)","journal-title":"Artif. Intell. Rev."},{"key":"46_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0004-3702(87)90050-6","volume":"33","author":"JE Laird","year":"1987","unstructured":"Laird, J.E., Newell, A., Rosenbloom, P.S.: Soar: an architecture for general intelligence. Artif. Intell. 33, 1\u201364 (1987)","journal-title":"Artif. Intell."},{"key":"46_CR10","doi-asserted-by":"crossref","unstructured":"Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., Qin, Y.: An integrated theory of the mind. Psychol. Rev. (2004)","DOI":"10.1037\/0033-295X.111.4.1036"},{"key":"46_CR11","unstructured":"Langley, P., Choi, D.: A unified cognitive architecture for physical agents. In: 21st Proceedings of the National Conference on Artificial Intelligence, p. 1469. MIT Press, London (1999)"},{"key":"46_CR12","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1111\/j.1467-8640.1988.tb00284.x","volume":"4","author":"ME Bratman","year":"1988","unstructured":"Bratman, M.E., Israel, D.J., Pollack, M.E.: Plans and resource-bounded practical reasoning. Comput. Intell. 4, 349\u2013355 (1988)","journal-title":"Comput. Intell."},{"key":"46_CR13","doi-asserted-by":"crossref","unstructured":"Sun, R., Peterson, T.: Learning in reactive sequential decision tasks: In: 2nd Proceedings of International Conference on Neural Networks, pp. 1073\u20131078. IEEE (1996)","DOI":"10.1109\/ICNN.1996.549047"},{"key":"46_CR14","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1207\/s15516709cog2704_2","volume":"27","author":"C Gonzalez","year":"2003","unstructured":"Gonzalez, C., Lerch, J.F., Lebiere, C.: Instance-based learning in dynamic decision making. Cogn. Sci. 27, 591\u2013635 (2003)","journal-title":"Cogn. Sci."},{"key":"46_CR15","doi-asserted-by":"crossref","unstructured":"Gonzalez, C., Dutt, V.: Instance-based learning models of training. In: 54th Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp. 2319\u20132323. SAGE Publications, Los Angeles (2010)","DOI":"10.1177\/154193121005402721"},{"key":"46_CR16","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1037\/a0024558","volume":"118","author":"C Gonzalez","year":"2011","unstructured":"Gonzalez, C., Dutt, V.: Instance-based learning: integrating sampling and repeated decisions from experience. Psychol. Rev. 118, 523 (2011)","journal-title":"Psychol. Rev."},{"key":"46_CR17","doi-asserted-by":"crossref","unstructured":"Singal, H., Aggarwal, P., Dutt, V.: Modeling decisions in games using reinforcement learning. In: Proceedings of the 2017 International Conference on Machine Learning and Data Science (MLDS), pp. 98\u2013105. IEEE (2017)","DOI":"10.1109\/MLDS.2017.13"},{"key":"46_CR18","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.aci.2018.08.003","volume":"17","author":"A Tharwat","year":"2020","unstructured":"Tharwat, A.: Classification assessment methods. Appl. Comput. Inform. 17, 168\u2013192 (2020)","journal-title":"Appl. Comput. Inform."}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-1642-9_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T12:33:48Z","timestamp":1681389228000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-1642-9_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819916412","9789819916429"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-1642-9_46","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"14 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Delhi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2022.apnns.org\/","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":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"810","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":"359","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":"44% - 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":"2.65","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","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)"}},{"value":"ICONIP 2022 consists of a two-volume set, LNCS & CCIS, which includes 146 and 213 papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}