{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:06:05Z","timestamp":1743149165968,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031216701"},{"type":"electronic","value":"9783031216718"}],"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\/978-3-031-21671-8_14","type":"book-chapter","created":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T05:12:32Z","timestamp":1672549952000},"page":"220-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3862-1163","authenticated-orcid":false,"given":"Yunzhe","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3479-2037","authenticated-orcid":false,"given":"Nikolos","family":"Gurney","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2328-6614","authenticated-orcid":false,"given":"Jincheng","family":"Zhou","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2452-4733","authenticated-orcid":false,"given":"David V.","family":"Pynadath","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7090-4086","authenticated-orcid":false,"given":"Volkan","family":"Ustun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,1]]},"reference":[{"issue":"2","key":"14_CR1","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1016\/j.ejor.2020.07.063","volume":"290","author":"Y Bengio","year":"2021","unstructured":"Bengio, Y., Lodi, A., Prouvost, A.: Machine learning for combinatorial optimization: a methodological tour d\u2019horizon. Eur. J. Oper. Res. 290(2), 405\u2013421 (2021)","journal-title":"Eur. J. Oper. Res."},{"issue":"2","key":"14_CR2","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.obhdp.2006.07.001","volume":"101","author":"S Bonaccio","year":"2006","unstructured":"Bonaccio, S., Dalal, R.S.: Advice taking and decision-making: an integrative literature review, and implications for the organizational sciences. Organ. Behav. Hum. Decis. Process. 101(2), 127\u2013151 (2006)","journal-title":"Organ. Behav. Hum. Decis. Process."},{"key":"14_CR3","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.ins.2013.02.041","volume":"237","author":"I Boussa\u00efd","year":"2013","unstructured":"Boussa\u00efd, I., Lepagnot, J., Siarry, P.: A survey on optimization metaheuristics. Inf. Sci. 237, 82\u2013117 (2013)","journal-title":"Inf. Sci."},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Cappart, Q., et al.: Combinatorial optimization and reasoning with graph neural networks. arXiv preprint arXiv:2102.09544 (2021)","DOI":"10.24963\/ijcai.2021\/595"},{"key":"14_CR5","doi-asserted-by":"publisher","unstructured":"Cox, M., Cox, T.: Multidimensional scaling. In: Handbook of Data Visualization, pp. 315\u2013347. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-33037-0_14","DOI":"10.1007\/978-3-540-33037-0_14"},{"issue":"1","key":"14_CR6","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/BF01386390","volume":"1","author":"EW Dijkstra","year":"1959","unstructured":"Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269\u2013271 (1959)","journal-title":"Numer. Math."},{"key":"14_CR7","first-page":"311","volume":"7","author":"JR French","year":"1959","unstructured":"French, J.R., Raven, B., Cartwright, D.: The bases of social power. Classics Organ. Theory 7, 311\u2013320 (1959)","journal-title":"Classics Organ. Theory"},{"key":"14_CR8","unstructured":"Gilmer, J., Schoenholz, S.S., Riley, P.F., Vinyals, O., Dahl, G.E.: Neural message passing for quantum chemistry. In: International Conference on Machine Learning, pp. 1263\u20131272. PMLR (2017)"},{"key":"14_CR9","unstructured":"Huang, L., et al.: ASIST study 2 June 2021 exercises for artificial social intelligence in minecraft search and rescue for teams (2021). https:\/\/doi.org\/10.17605\/OSF.IO\/GXPQ5"},{"key":"14_CR10","unstructured":"Indyk, P., Matou\u0161ek, J., Sidiropoulos, A.: 8: low-distortion embeddings of finite metric spaces. In: Handbook of Discrete and Computational Geometry, pp. 211\u2013231. Chapman and Hall\/CRC, London (2017)"},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1090\/conm\/026\/737400","volume":"26","author":"WB Johnson","year":"1984","unstructured":"Johnson, W.B., Lindenstrauss, J.: Extensions of Lipschitz mappings into a Hilbert space. Contemp. Math. 26, 189\u2013206 (1984)","journal-title":"Contemp. Math."},{"key":"14_CR12","doi-asserted-by":"publisher","unstructured":"Korte, B., Vygen, J.: The traveling salesman problem. In: Combinatorial Optimization. Algorithms and Combinatorics, vol. 21, pp. 557\u2013592. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-24488-9_21","DOI":"10.1007\/978-3-642-24488-9_21"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Kruskal, J.B.: Multidimensional scaling. No. 11, Sage (1978)","DOI":"10.4135\/9781412985130"},{"issue":"9","key":"14_CR14","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1037\/bul0000060","volume":"142","author":"K Starcke","year":"2016","unstructured":"Starcke, K., Brand, M.: Effects of stress on decisions under uncertainty: a meta-analysis. Psychol. Bull. 142(9), 909 (2016)","journal-title":"Psychol. Bull."},{"key":"14_CR15","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Romero, A., Lio, P., Bengio, Y.: Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)"},{"key":"14_CR16","doi-asserted-by":"publisher","first-page":"120388","DOI":"10.1109\/ACCESS.2020.3004964","volume":"8","author":"N Vesselinova","year":"2020","unstructured":"Vesselinova, N., Steinert, R., Perez-Ramirez, D.F., Boman, M.: Learning combinatorial optimization on graphs: a survey with applications to networking. IEEE Access 8, 120388\u2013120416 (2020)","journal-title":"IEEE Access"},{"key":"14_CR17","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.aiopen.2021.01.001","volume":"1","author":"J Zhou","year":"2020","unstructured":"Zhou, J., et al.: Graph neural networks: a review of methods and applications. AI Open 1, 57\u201381 (2020)","journal-title":"AI Open"}],"container-title":["Lecture Notes in Computer Science","Computational Theory of Mind for Human-Machine Teams"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21671-8_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T06:06:14Z","timestamp":1672553174000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21671-8_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031216701","9783031216718"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21671-8_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":"1 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AAAI-FSS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"AAAI Fall Symposium","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aaai-fss2021","order":10,"name":"conference_id","label":"Conference ID","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":"22","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":"20","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":"91% - 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","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":"1-4","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)"}}]}}