Learning and reasoning in complex coalition information environments: a critical analysis
dc.contributor.author | Cerutti, F. | |
dc.contributor.author | Alzantot, M. | |
dc.contributor.author | Xing, T. | |
dc.contributor.author | Harborne, D. | |
dc.contributor.author | Bakdash, J. Z. | |
dc.contributor.author | Braines, D. | |
dc.contributor.author | Chakraborty, S. | |
dc.contributor.author | Kaplan, L. | |
dc.contributor.author | Kimmig, A. | |
dc.contributor.author | Preece, A. | |
dc.contributor.author | Raghavendra, R. | |
dc.contributor.author | Şensoy, Murat | |
dc.contributor.author | Srivastava, M. | |
dc.date.accessioned | 2020-04-20T08:27:13Z | |
dc.date.available | 2020-04-20T08:27:13Z | |
dc.date.issued | 2018-09-05 | |
dc.identifier.isbn | 978-0-9964-5276-2 | |
dc.identifier.uri | http://hdl.handle.net/10679/6523 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8455458 | |
dc.description.abstract | In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate and deep understanding of a situation derived from uncertain and often sparse data and collective foresight - i.e., the ability to predict what will happen in the future. When it comes to complex scenarios, the need for a distributed CSU naturally emerges, as a single monolithic approach not only is unfeasible: it is also undesirable. We therefore propose a principled, critical analysis of AI techniques that can support specific tasks for CSU to derive guidelines for designing distributed systems for CSU. | en_US |
dc.description.sponsorship | United States Department of Defense US Army Research Laboratory (ARL) ; U.K. Ministry of Defence | |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2018 21st International Conference on Information Fusion (FUSION) | |
dc.rights | restrictedAccess | |
dc.title | Learning and reasoning in complex coalition information environments: a critical analysis | en_US |
dc.type | Conference paper | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat | |
dc.contributor.ozuauthor | Şensoy, Murat | |
dc.identifier.startpage | 822 | en_US |
dc.identifier.endpage | 829 | en_US |
dc.identifier.wos | WOS:000495071900114 | |
dc.identifier.doi | 10.23919/ICIF.2018.8455458 | en_US |
dc.subject.keywords | Collective situational understanding | en_US |
dc.subject.keywords | Artificial intelligence for situational understanding | en_US |
dc.subject.keywords | Critical analysis of artificial intelligence techniques | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85054089533 | |
dc.contributor.authorMale | 1 | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff |
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