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[SIPTA] Fw: SUM 2019 -- Last Call for Papers!
by Kreinovich June 22, 2019

June 22, 2019

FYI ________________________________________ From: Martin THEOBALD <martin.theobald(a)uni.lu> Sent: Friday, June 21, 2019 3:44 AM SUM 2019: the 13th international conference on Scalable Uncertainty Management ------------------------------------------------------------------------------ The thirteenth international conference on Scalable Uncertainty Management (SUM 2019) will be held in Compiègne (France), on December 16-18, 2019. The SUM conferences are annual events which gather researchers interested in dealing with imperfect information, in a wide range of fields such as artificial intelligence, databases, information retrieval, machine learning, and risk analysis, with the aim of fostering collaboration and cross-fertilization of ideas from different communities. An originality of the SUM conferences is the care for dedicating a large part of their programs to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a 45-minute survey of one of the research areas in the scope of the conference. Topics of interest: The scope of the conference covers a wide range of topics related to the management of large amounts of information, in particular information of a complex kind, uncertain, incomplete, or inconsistent. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): * Imperfect information in artificial intelligence * - Statistical relational learning, graphical models, probabilistic inference - Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Imperfect information in databases * Methods for modeling, indexing, and querying uncertain databases * - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases - Data provenance and trust - Data summarization - Imperfect information in information retrieval and semantic web applications * Approximate schema and ontology matching * - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web * Risk analysis * - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results Invited keynotes: -Cassio P. de Campos (Utrecht University, Utrecht, the Netherlands): "Scalable reliable machine learning using sum-product networks" - Jérôme Lang (Université Paris Dauphine, Paris, France): "Computational social choice (provisional title)" - Wolfgang Gatterbauer (Northeastern University, Boston, MA, USA): "Algebraic approximations of the Probability of Boolean Functions (provisional title)" Important dates: - June 30th, 2019: submission deadline - Sept. 8th, 2019: notification of acceptance - Sept. 22nd, 2019: camera-ready copies - Dec. 16-18, 2019: conference Submission guidelines and proceedings: SUM 2019 solicits papers in the following three categories: - Long papers: technical papers reporting original research or survey papers - Short papers: papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of current research trends - Extended abstracts of recently published work in a relevant journal or top-tier conference Regular research papers should be at most 14 pages (including references, figures, and tables). Short papers should be between 4 and 7 pages. Extended abstracts should be at most 2 pages and must reference the originally published work. Accepted long and short papers will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). All submissions will be processed using EasyChair: https://easychair.org/conferences/?conf=sum2019 Submissions must be formatted according to Springer's guidelines for LNCS authors, which can be found at http://www.springer.de/comp/lncs/authors.html. Papers not respecting the formatting instructions or page limits may be rejected without review. Except for extended abstracts, submissions must be unpublished and must not be under submission elsewhere. All submitted papers will be reviewed by the Program Committee on the basis of technical quality, relevance, significance, and clarity. Organization committee: Yonatan Carlos Carranza Alarcon, Université de Technologie de Compiègne, France Sébastien Destercke, CNRS, Université de Technologie de Compiègne, France Marie-Hélène Masson, Université de Picardie Jules-Verne, France Benjamin Quost, Université de Technologie de Compiègne, France (conference chair) David Savourey, Université de Technologie de Compiègne, France Program committee chairs: Nahla Ben Amor, Institut Supérieur de Gestion de Tunis, Tunisia Martin Theobald, University of Luxembourg, Luxembourg Steering committee: Didier Dubois, IRIT-CNRS, France Lluis Godo, IIIA-CSIC, Spain Eyke Hüllermeier, Universität Paderborn, Germany Anthony Hunter, University College London, UK Henri Prade, IRIT-CNRS, France Steven Schockaert, Cardiff University, UK V. S. Subrahmanian, University of Maryland, USA

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[SIPTA] Fw: The 2019 IEEE Symposium Series on Computational Intelligence, Xiamen, Dec. 6-9, 2019
by Kreinovich June 22, 2019

June 22, 2019

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[SIPTA] SLSP 2019: call for posters
by IRDTA June 19, 2019

June 19, 2019

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Re: [SIPTA] REC2020
by Kreinovich June 8, 2019

June 8, 2019

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[SIPTA] DeepLearn 2019: early registration June 22
by IRDTA June 4, 2019

June 4, 2019

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Re: [SIPTA] Extention of deadline submission of AICI 2020 !
by Kreinovich June 1, 2019

June 1, 2019

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[SIPTA] SLSP 2019: extended submission deadline June 8
by IRDTA May 30, 2019

May 30, 2019

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[SIPTA] SLSP 2019: 3rd call for papers
by IRDTA May 22, 2019

May 22, 2019

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[SIPTA] AICI 2020, Vietnam-based conference on AI and soft computing
by Kreinovich May 18, 2019

May 18, 2019

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[SIPTA] TPNC 2019: 1st call for papers
by IRDTA May 17, 2019

May 17, 2019

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Re: [SIPTA] SUM 2019 - Call for Papers
by Kreinovich May 13, 2019

May 13, 2019

FYI, imprecise probabilities are one of the highlighted topics -----Original Message----- From: Martin THEOBALD Sent: Monday, May 13, 2019 5:51 AM SUM 2019: the 13th international conference on Scalable Uncertainty Management ------------------------------------------------------------------------------ The thirteenth international conference on Scalable Uncertainty Management (SUM 2019) will be held in Compiègne (France), on December 16-18, 2019. The SUM conferences are annual events which gather researchers interested in dealing with imperfect information, in a wide range of fields such as artificial intelligence, databases, information retrieval, machine learning, and risk analysis, with the aim of fostering collaboration and cross-fertilization of ideas from different communities. An originality of the SUM conferences is the care for dedicating a large part of their programs to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a 45-minute survey of one of the research areas in the scope of the conference. Topics of interest: The scope of the conference covers a wide range of topics related to the management of large amounts of information, in particular information of a complex kind, uncertain, incomplete, or inconsistent. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): * Imperfect information in artificial intelligence * - Statistical relational learning, graphical models, probabilistic inference - Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Imperfect information in databases * Methods for modeling, indexing, and querying uncertain databases * - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases - Data provenance and trust - Data summarization - Imperfect information in information retrieval and semantic web applications * Approximate schema and ontology matching * - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web = Risk analysis * Aleatory vs. epistemic uncertainty * - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results Invited keynotes: -Cassio P. de Campos (Utrecht University, Utrecht, the Netherlands): "Scalable reliable machine learning using sum-product networks" - Jérôme Lang (Université Paris Dauphine, Paris, France): "Computational social choice (provisional title)" - Wolfgang Gatterbauer (Northeastern Polytechnical University, Boston, MA, USA): "Algebraic approximations of the Probability of Boolean Functions (provisional title)" Important dates: - June 15th, 2019: submission deadline - Sept. 1st, 2019: notification of acceptance - Sept. 15th, 2019: camera-ready copies - Dec. 16-18, 2019: conference Submission guidelines and proceedings: SUM 2019 solicits papers in the following three categories: - Long papers: technical papers reporting original research or survey papers - Short papers: papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts of recently published work in a relevant journal or top-tier conference Regular research papers should be at most 14 pages (including references, figures, and tables). Short papers should be between 4 and 7 pages. Extended abstracts should be at most 2 pages and should reference the originally published work. Accepted long and short papers will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). All submissions will be processed using EasyChair: https://easychair.org/conferences/?conf=sum2019 Submissions must be formatted according to Springer's guidelines for LNCS authors, which can be found at http://www.springer.de/comp/lncs/authors.html. Papers not respecting the formatting instructions or page limits may be rejected without review. Except for extended abstracts, submissions must be unpublished and must not be under submission elsewhere. All submitted papers will be reviewed by the Program Committee on the basis of technical quality, relevance, significance, and clarity. Organization committee: Yonatan Carlos Carranza Alarcon, Université de Technologie de Compiègne, France Sébastien Destercke, CNRS, Université de Technologie de Compiègne, France Marie-Hélène Masson, Université de Picardie Jules-Verne, France Benjamin Quost, Université de Technologie de Compiègne, France (conference chair) David Savourey, Université de Technologie de Compiègne, France Program committee chairs: Nahla Ben Amor, Institut Supérieur de Gestion de Tunis, Tunisia Martin Theobald, University of Luxembourg, Luxembourg Steering committee: Didier Dubois, IRIT-CNRS, France Lluis Godo, IIIA-CSIC, Spain Eyke Hüllermeier, Universität Paderborn, Germany Anthony Hunter, University College London, UK Henri Prade, IRIT-CNRS, France Steven Schockaert, Cardiff University, UK V. S. Subrahmanian, University of Maryland, USA

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[SIPTA] AlCoB 2019: call for participation
by IRDTA May 7, 2019

May 7, 2019

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[SIPTA] 5th School on Belief Functions and their Applications, Siena, Italy, October 27-31, 2019
by Thierry Denoeux May 2, 2019

May 2, 2019

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[SIPTA] SLSP 2019: 3rd call for papers
by IRDTA April 30, 2019

April 30, 2019

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[SIPTA] ISIPTA 2019: call for posters
by Jasper De Bock April 28, 2019

April 28, 2019

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[SIPTA] DeepLearn 2019: early registration April 27
by IRDTA April 24, 2019

April 24, 2019

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[SIPTA] AlCoB 2019: call for posters
by IRDTA April 18, 2019

April 18, 2019

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[SIPTA] DeepLearn 2019: early registration April 27
by IRDTA April 17, 2019

April 17, 2019

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[SIPTA] FW: IEEE SSCI2020 -- mark your calendars
by Kreinovich April 16, 2019

April 16, 2019

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[SIPTA] SLSP 2019: 2nd call for papers
by IRDTA April 14, 2019

April 14, 2019

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Re: [SIPTA] IEEE SMC Conference, Bari, Italy, deadline April 19, 2019
by Kreinovich April 10, 2019

April 10, 2019

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[SIPTA] AlCoB 2019: call for posters
by IRDTA March 31, 2019

March 31, 2019

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[SIPTA] DeepLearn 2019: early registration March 30
by IRDTA March 24, 2019

March 24, 2019

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Re: [SIPTA] conference of interest to imprecise probability researchers
by Kreinovich March 21, 2019

March 21, 2019

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[SIPTA] SLSP 2019: 1st call for papers
by IRDTA March 18, 2019

March 18, 2019

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[SIPTA] DARe at LPNMR-19: New Deadline 2 April 2019
by Ivan José Varzinczak March 15, 2019

March 15, 2019

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[SIPTA] 4th Call for papers: DARe at LPNMR-19
by Ivan José Varzinczak March 9, 2019

March 9, 2019

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[SIPTA] AlCoB 2019: call for posters
by IRDTA March 9, 2019

March 9, 2019

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[SIPTA] 12th WPMSIIP 2019 at Durham, 9-12 (13) September 2019
by COOLEN March 8, 2019

March 8, 2019

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[SIPTA] Stream at EURO 2019
by Barbara Vantaggi March 6, 2019

March 6, 2019

Dear friends Happy new year! We would like to inform SIPTA comunity about the following stream "Decision Making under Imprecise and Vague Information" we are organizing for the 30th EUROPEAN CONFERENCE ON OPERATIONAL RESEARCH EURO 2019 https://www.euro2019dublin.com/ that will be in Dublin 23-26 June. If you decide to participate to the stream or to organize a session of 4 papers, please let us know, that we will invite you through the conference system. The deadline for the abstract is 8.2.2019. All the best Barbara, Davide, Giulianella

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[SIPTA] FW: FSTA 2020 - mark the dates
by Kreinovich March 5, 2019

March 5, 2019

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Re: [SIPTA] 2nd CfP ECSQARU 2019
by Kreinovich March 2, 2019

March 2, 2019

FYI, please note that imprecise probabilities are explicitly mentioned as one of the main topics -----Original Message----- From: Gabriele Kern-Isberner ******************************************************************************** 2nd CALL FOR PAPERS Fifteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty ECSQARU 2019 September 18-20, 2019 Belgrade (Serbia) http://www.mi.sanu.ac.rs/~ecsqaru2019/ Invited Speakers: Fabio Gagliardi Cozman, University of Sao Paulo Lluís Godo, Artificial Intelligence Research Institute (IIIA), CSIC Francesca Toni, Imperial College London ******************************************************************************** The biennial ECSQARU conferences constitute a major forum for advances in the theory and practice of reasoning under uncertainty, with a focus on bringing symbolic and quantitative aspects together. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms. Previous ECSQARU events have been held in Marseille (1991), Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona (2009), Belfast (2011), Utrecht (2013), Compiègne (2015), and Lugano (2017). ::: SCOPE ::: For ECSQARU 2019 we invite submissions of original papers on topics which include but are not limited to: - Algorithms for uncertain inference - Applications of uncertain systems - Argumentation systems - Automated planning and acting under uncertainty - Belief functions - Belief change & merging - Classification & clustering - Decision theory & decision graphs - Default reasoning - Description logics with uncertainty - Foundations of reasoning under uncertainty - Fuzzy sets & fuzzy logic - Game theory - Hybrid reasoning - Imprecise probabilities - Inconsistency handling - Information fusion - Learning for uncertainty formalisms - Learning for uncertainty formalisms - Logics for reasoning under uncertainty - Markov decision processes - Possibility theory & possibilistic logic - Preferences - Probabilistic graphical models - Probabilistic logics - Qualitative uncertainty models - Rough sets - Uncertainty & data ::: PROCEEDINGS ::: In accordance with the previous conferences, the proceedings of ECSQARU 2019 will be published in the Springer Lecture Notes in Artificial Intelligence series. In addition to that, extended versions of selected papers will be published in a special issue of the International Journal of Approximate Reasoning. ::: SUBMISSIONS ::: Authors are requested to prepare their conference papers in the LNCS/LNAI format. Submitted papers must be original and not under review in a journal or another venue with formally published proceedings. They will be evaluated by peer reviews based on originality, significance, technical soundness, and clarity of exposition. Reviewing will be double-blind, so names of authors and affiliations must be omitted from the paper. Authors of accepted papers are expected to attend the conference to present their work, at least one author of each paper must register for the conference. Submitted papers must be at most 10 pages (excluding references) in the Springer LNCS/LNAI format. Submissions will be through EasyChair: https://easychair.org/conferences/?conf=ecsqaru2019 ::: IMPORTANT DATES ::: May 3, 2019: Abstract submission deadline May 10, 2019: Paper submission deadline June 11, 2019: Author notification Sept 18-20, 2019: ECSQARU 2019 _________________________________ Co-Chairs: Gabriele Kern-Isberner Department of Computer Science TU Dortmund, Germany gabriele.kern-isberner(a)cs.uni-dortmund.de Zoran Ognjanović (also Local Organization) Mathematical Institute SANU Belgrade, Serbia (ex: Serbia and Montenegro, Yugoslavia) zorano(a)mi.sanu.ac.rs Program Committee: Leila Amgoud, IRIT, France Alessandro Antonucci, IDSIA, Switzerland Ringo Baumann, Leipzig University, Germany Christoph Beierle, University of Hagen, Germany Vaishak Belle, University of Edinburgh, UK Concha Bielza, Technical University of Madrid, Spain Isabelle Bloch, ENST-LTCI, France Guy van den Broeck, University of California, US Giovanni Casini, University of Luxembourg, Luxembourg Laurence Cholvy, ONERA-Toulouse, France Giulianella Coletti, Univesity of Perugia, Italy Ines Couso, University of Oviedo, Spain Fabio G. Cozman, University of Sao Paulo, Brazil Fabio Cuzzolin, Oxford Brookes University, UK Luis (M.) De Campos, University of Granada, Spain Thierry Deneoux, University of Technology of Compiegne, France Sebastien Destercke, University of Technology of Compiegne, France Dragan Doder, University of Belgrade, Serbia Florence Dupin de Saint-Cyr, IRIT, France Zied Elouedi, Institut Superieur de Gestion de Tunis, Tunisia Patricia Everaere, University of Lille 1, France Alessandro Facchini, IDSIA, Switzerland Eduardo Ferme, University of Madeira, Spain Tommaso Flaminio, IIIA - CSIC, Spain Laurent Garcia, University of Angers, France Laura Giordano, Università del Piemonte Orientale, Italy Lluis Godo, Spanish National Research Council, Spain Anthony Hunter, University College London, UK Nebojsa Ikodinovic, University of Belgrade, Serbia Souhila Kaci, LIRMM, France Sebastien Konieczny, CRIL, France Jerome Lang, LAMSADE, France Florence Le Ber, ENGEES, France Philippe Leray, University of Nantes, France Peter Lucas, Radboud University, Netherlands Carsten Lutz, University of Bremen, Germany Francesca Mangili, IDSIA, Switzerland Choh Man Teng, Florida Institute for Human and Machine Cognition, US Pierre Marquis, University of Artois, France Maria Vanina Martinez, University of Oxford, UK David Mercier, University of Artois, France Thomas Meyer, University of Cape Town and CAIR, South Africa Enrique Miranda, University of Oviedo, Spain Serafin Moral, University of Granada, Spain Farid Nouioua, LSIS, France Odile Papini, LSIS UMR CNRS, France Davide Petturiti, University of Perugia, Italy Nico Potyka, University of Osnabrueck, Germany Henri Prade, IRIT, France Silja Renooij, Utrecht University, Netherlands Guillermo Simari, Universidad del Sur in Bahia Blanca, Argentina Karim Tabia, CRIL, France Rafael Testa, Unicamp, Brazil Matthias Thimm, University of Koblenz-Landau, Germany Matthias Troffaes, Durham University, UK Linda Van der Gaag, Utrecht University, Netherlands Leon van der Torre, University of Luxembourg, Ivan Varzinczak, University of Artois and CNRS, France Jirka Vomlel, Czech Academy of Sciences, Czech Republic Renata Wassermann, University of Sao Paulo, Brazil Stefan Woltran, Vienna University of Technology, Austria Eric Würbel, LSIS/INCA, France ******************************************************************************************* -- *************************************************** * Prof. Dr. Gabriele Kern-Isberner * Technische Universitaet Dortmund * Dept. of Computer Science * Chair I - Information Engineering * 44221 Dortmund, Germany * Phone: +49-231-755-2045 * Fax: +49-231-755 6555 * email: gabriele.kern-isberner(a)cs.uni-dortmund.de ***************************************************

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Re: [SIPTA] Poster of ECONVN2020
by Kreinovich March 2, 2019

March 2, 2019

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[SIPTA] DeepLearn 2019: early registration March 2
by IRDTA Feb. 26, 2019

Feb. 26, 2019

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[SIPTA] IFSA/NAFIPS'2019: additional deadline April 1 (not a joke!)
by Kreinovich Feb. 25, 2019

Feb. 25, 2019

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[SIPTA] AlCoB 2019: call for posters
by IRDTA Feb. 22, 2019

Feb. 22, 2019

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[SIPTA] Funded PhD position on "Reasoning under inconsistencies in support to maritime surveillance"
by frederic.pichon Feb. 21, 2019

Feb. 21, 2019

* Title of the PhD project : Reasoning under inconsistencies in support to maritime surveillance * Starting date and duration: Octobre 2019, 36 months * Supervision: Supervisor: Frédéric Pichon, Associate Professor (Maître de conférences HDR), Laboratory of Computer Engineering and Automation of Artois (LGI2A) Co-supervisor: Anne-Laure Jousselme, Scientist, NATO Centre for Maritime Research & Experimentation (CMRE) * Topic of the project: In maritime surveillance, the detection, identification and management of inconsistencies in available information is of crucial importance for understanding the situation and analyzing ship behaviors. These inconsistencies may reflect illicit or malicious acts, ships in distress, or simply sensor malfunction. This task of monitoring is particularly difficult for an operator because of the volume, the variety and the lack of veracity of information. Moreover, the characterization of what constitutes an inconsistency represents a challenge in itself since it depends strongly on the operational context (mission, weather, geopolitics, environment). The objective of the project is to develop a formal and tooled approach to help reasoning in the presence of inconsistencies. Building on previous work [1-5] including recent work at LGI2A and CMRE [6-10], the project will aim at proposing one or more measures of the degree of inconsistency having clear semantics and behavior, adapted to the operational context and meaningful to the operator. The major challenge will therefore be to reconcile inconsistency measurement and human intuition as to its behavior. The formal framework chosen should be rich enough to handle the heterogeneity and imperfection of information, and to reflect different facets of human reasoning. As such, the theory of belief functions will be favored. The approach developed will be tested on real data from AIS (Automatic Identification System), possibly supplemented by information extracted from radar or satellite images, from past events, intelligence reports, patterns-of-life, nautical charts or social networks. References [1] D. Dubois, W. Liu, J. Ma, H. Prade. The basic principles of uncertain information fusion. An organised review of merging rules in different representation frameworks. Information Fusion 32:12-39, 2016. [2] A. Hunter, S. Konieczny. Measuring inconsistency through minimal inconsistent sets. Proc. of the 11th Int. Conf. on Principles of Knowledge Representation and Reasoning (KR'08), pp. 358-366, 2008. [3] S. Destercke, T. Burger. Toward an axiomatic definition of conflict between belief functions. IEEE Trans. Syst. Man Cybern. B 43(2):585-596, 2013. [4] T. George, N. R. Pal. Quantification of conflict in Dempster-Shafer framework: A new approach. Int. J. of General Systems 24(4):407-423, 1996. [5] R. R. Yager. On considerations of credibility of evidence. Int. J. Approx. Reason. 7(1/2):45-72, 1992. [6] G. Pallotta, A.-L. Jousselme. Data-driven detection and context-based classification of maritime anomalies. In Proc. of the 18th Int. Conf. on Information Fusion, Washington, D. C., USA, pp. 1152-1159, 2015. [7] F. Pichon, A.-L. Jousselme, N. Ben Abdallah. Several shades of conflict. Fuzzy Sets and Systems (2019), https://doi.org/10.1016/j.fss.2019.01.014 [8] F. Pichon, S. Destercke, T. Burger. A consistency-specificity trade-off to select source behavior in information fusion. IEEE Transactions on Cybernetics 45(4):598-609, 2015. [9] N. Ben Abdallah, A.-L. Jousselme, F. Pichon. An ordered family of consistency measures of belief functions. In F. Cuzzolin, S. Destercke, T. Denoeux and A. Martin, editors, Belief Functions: Theory and Applications, Proc. of the 5th International Conference, BELIEF 2018, Compi√®gne, France, September 17-21, 2018, volume 11069 of Lecture Notes in Computer Science, pages 199-207, Springer, 2018. [10] N. Ben Abdallah, A.-L. Jousselme, An evidential solution to support reasoning with partially reliable and conflicting sources in maritime surveillance, Under review, 2019. * Keywords: Belief functions, Dempster-Shafer theory, Consistency, Conflict, Anomaly, Maritime surveillance. * (Pending) Funding: Université d'Artois, French Région Hauts-de-France and/or research funding entity, for an expected gross salary of approximately 1800 euros per month for 3 years (standard duration and salary to complete doctoral studies in computer science in France). * Environment: The work will be carried out in the Laboratory of Computer Engineering and Automation of Artois (https://www.lgi2a.univ-artois.fr/spip/?lang=en) located in Béthune, France. Stays at the NATO Centre for Maritime Research & Experimentation (https://www.cmre.nato.int) located in La Spezia, Italy, may also be necessary. * Candidate profile: The candidate must hold a master's degree (or equivalent) in computer science. Knowledge in artificial intelligence will be an asset. * Application: Send CV, cover letter, grades and rankings of the last two years of studies as well as letters of recommendation to: Frédéric Pichon (frederic.pichon(a)univ-artois .fr) and Anne-Laure Jousselme (anne-laure.jousselme(a)cmre.nato.int)

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[SIPTA] CoProd'2019: additional deadline April 1 (not a joke!)
by Kreinovich Feb. 19, 2019

Feb. 19, 2019

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[SIPTA] DeepLearn 2019: early registration March 2
by IRDTA Feb. 16, 2019

Feb. 16, 2019

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[SIPTA] LATA 2019: call for participation
by IRDTA Feb. 15, 2019

Feb. 15, 2019

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[SIPTA] Entanglement!
by Alessio Benavoli Feb. 14, 2019

Feb. 14, 2019

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[SIPTA] 3rd Call for papers: DARe at LPNMR-19
by Ivan José Varzinczak Feb. 12, 2019

Feb. 12, 2019

* Apologies if you receive multiple copies of this call * ============================== Call for Papers DARe at LPNMR 2019 Date: June 3 or 4 2019 (TBC) Philadelphia, USA *** Deadline: 19 March 2019 *** ============================== The Fifth International Workshop on "Defeasible and Ampliative Reasoning" (DARe) https://sites.google.com/view/dare-19/ collocated with LPNMR 2019 -- Workshop Description and Aims -- Classical reasoning is not flexible enough when directly applied to the formalisation of certain nuances of human quotidian decision making. These involve different kinds of reasoning such as reasoning with uncertainty, exceptions, similarity, vagueness, incomplete or contradictory information and many others. It turns out that everyday reasoning usually shows the two salient intertwined aspects below: * Ampliative aspect: augmenting the underlying reasoning by allowing more conclusions. In practical contexts, this amounts to the ability to make inferences that venture beyond the scope of the premises, somehow in an unsound but justifiable way. Prominent examples are (i) default reasoning: jumping to conclusions deemed as plausible 'by default', i.e., in the absence of information to the contrary, like applying negation as failure or adopting the closed-world assumption; (ii) inductive and abductive reasoning: taking chances in drawing conclusions that implicitly call for further scrutiny or tests by empirical observations, like in making inductive hypotheses in scientific theories or finding abductive explanations in forensics, and (iii) analogical reasoning: extrapolating from very few examples (in the worst case only one) on the basis of observable similarities or dissimilarities. * Defeasible aspect: curtailing the underlying reasoning by either disregarding or disallowing some conclusions that somehow ought not to be sanctioned. In practice, this amounts to the ability to backtrack one's conclusions or to admit exceptions in reasoning. Some examples of this are (i) retractive reasoning: withdrawing conclusions that have already been derived, like in belief contraction or in negotiation, and (ii) preemptive reasoning: preventing or blocking the inference of some conclusions by disallowing their derivation in the first place, like in dealing with exceptional cases in multiple inheritance networks and in regulatory systems. Several efforts have been put into the study and definition of formalisms within which the aforementioned aspects of everyday reasoning could adequately be captured at different levels. Despite the progress that has been achieved, a large avenue remains open for exploration. Indeed, the literature on non-monotonic reasoning has focused almost exclusively on defeasibility of argument forms (conditionals), whereas belief revision paradigms are restricted to an underlying classical (Tarskian) consequence relation. Moreover, even if some of the issues related to uncertainty in reasoning have been studied using probabilistic approaches and statistical methods, their integration with qualitative frameworks remain a challenge. Finally, well-established approaches are largely based on propositional languages or haunted by the undecidability of full first-order logic. Modern applications require formalisms with a good balance between expressive power and computational complexity. DARe aims at bringing together researchers and practitioners from core areas of artificial intelligence, cognitive sciences, philosophy and related disciplines to discuss these kinds of problems and relevant results in a multi-disciplinary forum. The goal of the workshop is to present latest research developments, to discuss current directions in the field, and to collect first-hand feedback from the community. -- Scope of the Workshop -- DARe welcomes contributions on all aspects of defeasible and ampliative reasoning such as (but not limited to): - Abductive and inductive reasoning - Explanation finding, diagnosis and causal reasoning - Inconsistency handling and exception-tolerant reasoning - Decision-making under uncertainty and incomplete information - Default reasoning, non-monotonic reasoning, non-monotonic logics, conditional logics - Specific instances and variations of ampliative and defeasible reasoning - Probabilistic and statistical approaches to reasoning - Vagueness, rough sets, granularity and fuzzy-logics - Philosophical foundations of defeasibility - Empirical studies of reasoning - Relationship with cognition and language - Contextual reasoning - Preference-based reasoning - Analogical reasoning - Similarity-based reasoning - Belief dynamics and merging - Argumentation theory, negotiation and conflict resolution - Heuristic and approximate reasoning - Defeasible normative systems - Reasoning about actions and change - Reasoning about knowledge and belief, epistemic and doxastic logics - Ampliative and defeasible temporal and spatial reasoning - Computational aspects of reasoning with uncertainty - Implementations and systems - Applications of uncertainty in reasoning -- Submission Requirements -- We invite submissions of papers presenting original research results or position statements. Submissions must be prepared using the Springer LNAI/LNCS format and should be no longer than 13 pages (not counting the references). Please submit to: https://easychair.org/conferences/?conf=dare19 -- Workshop Proceedings/Notes -- Accepted papers will be made available electronically in the CEUR Workshop Proceedings series (http://ceur-ws.org) Copyright of papers remain with the authors. The 2014 proceedings are available at http://ceur-ws.org/Vol-1212/ The 2015 proceedings are available at http://ceur-ws.org/Vol-1423/ The 2016 proceedings are available at http://ceur-ws.org/Vol-1626/ The 2017 proceedings are available at http://ceur-ws.org/Vol-1872/ -- Attendance -- The selection of accepted contributions will be based on relevance, significance and the work's potential to foster discussions and cross-pollination. Therefore submissions of ongoing work are also strongly encouraged. At least one co-author of each accepted paper must register for the workshop. Please check the LPNMR 2019 website for registration procedure, fees as well as cancellation policies. -- Important Dates -- - Submission deadline: 19 March 2019 - Notification to authors: 26 April 2019 - Camera ready version: 6 May 2019 - Workshop date: 3 or 4 June 2019 (to be confirmed) -- Invited Speaker -- [TBA] -- Workshop Co-Chairs -- - Richard Booth, Cardiff University, UK - Giovanni Casini, University of Luxembourg - Ivan Varzinczak, CRIL, Univ. Artois & CNRS, France -- Program Committee -- - Grigoris Antoniou, University of Huddersfield, UK - Ofer Arieli, Academic College of Tel-Aviv, Israel - Guillaume Aucher, University of Rennes 1 - INRIA, France - Christoph Beierle, FernUniversitaet Hagen, Germany - Mario Benevides, Universidade Federal do Rio de Janeiro, Brazil - Alexander Bochman, Holon Institute of Technology, Israel - Arina Britz, Stellenbosch University, South Africa - James Delgrande, Simon Fraser University, Canada - Patrick Girard, University of Auckland, New Zealand - Andreas Herzig, IRIT CNRS, France - Aaron Hunter, British Columbia Institute of Technology, Canada - Souhila Kaci, Université Montpellier 2, France - Simon Kramer, SK-R&D, Switzerland - Michael Maher, University of New South Wales, Australia - João Marcos, Universidade Federal do Rio Grande do Norte, Brazil - Reka Markovich, Université du Luxembourg - Thomas Meyer, University of Cape Town, South Africa - Xavier Parent, Université du Luxembourg - Francois Schwarzentruber, ENS Rennes/IRISA, France - Sonja Smets, University of Amsterdam, The Netherlands - Umberto Straccia, CNR, Italy - Christian Straßer, Ruhr-Universitaet Bochum, Germany - Rafael Testa, University of Campinas, Brazil - Leon van der Torre, Université du Luxembourg - Heinrich Wansing, Ruhr-Universitaet Bochum, Germany - Renata Wassermann, Universidade de São Paulo, Brazil - Anna Zamansky, University of Haifa, Israel -- Further Information -- Please visit the workshop website (https://sites.google.com/view/dare-19/) for further information and regular updates. Enquiries should be sent to dare.to.contact.us(a)gmail.com -- Ivan Varzinczak - https://www.ijv.ovh CRIL, Université d'Artois & CNRS, France

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Re: [SIPTA] Newsletter: ASCE-ASME Journal
by Kreinovich Feb. 11, 2019

Feb. 11, 2019

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[SIPTA] Bayes@Lund 2019 - Invitation and Call for Presentations
by TROFFAES Feb. 11, 2019

Feb. 11, 2019

*Please disseminate where appropriate.* Bayes(a)Lund 2019 – a Mini-conference on Bayesian Methods at Lund University, 7th of May, 2019 You are welcome to participate in the sixth edition of Bayes(a)Lund! The purpose of this conference is to bring together researchers and professionals working with or interested in Bayesian methods. Bayes(a)Lund aims at being accessible to researchers with little experience of Bayesian methods while still being relevant to experienced practitioners. The focus is on how Bayesian methods are used in research and in the industry, what advantages Bayesian methods have over classical alternatives, and how the use and teaching of Bayesian methods can be encouraged. (see last year's conference<https://bayesat.github.io/lund2018/bayes_at_lund_2018.html> for what to expect). The conference will take place at Lund University, Sweden on the 7th of May 2019 starting at 9.00 and ending at 17.00. It will include contributed talks and invited presentations. This year we are more than pleased to have Sharon Bertsch McGrayne as an invited speaker. She is the author of the The Theory That Would Not Die<http://www.mcgrayne.com/the_theory_that_would_not_die__how_bayes__rule_crac…>, the bestselling book that describes the rise and fall and rise again of Bayesian statistics. For more information and how register, please see the conference web site<https://indico.esss.lu.se/event/1191/>. Call for Presentations We invite you to submit a talk or short tutorial to Bayes(a)Lund 2019 on a topic related to Bayesian methods in research as well as in a non-academic context, including, but not restricted to: · Case studies. Have you used Bayesian methods in your work? Describe what you did, and how it worked out. · Method development. Are you developing novel Bayesian methods or software that you want to share? · Teaching Bayes. Do you have experiences teaching or introducing Bayesian methods? What were the challenges, and do you have any useful tips? Each accepted speaker is given 20 minutes and, as the audience will be highly heterogeneous from different disciplines and from within and outside academia, the talk is expected to be accessible and engaging for a multidisciplinary audience. Alternatively, short tutorials are 10/20/30 minutes long tutorials where you introduce the audience to a tool, package or methodology you find useful. It doesn’t need to be something you’ve developed, just something you want to show the audience! For more information on how to submit a talk proposal please see here<https://indico.esss.lu.se/event/1191/abstracts/>. We hope to see you there! All best, The committee Ullrika Sahlin, Rasmus Bååth, Alex Holmes, and Jakob Lavröd

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[SIPTA] FW: metrological (measurement-related) applications of uncertainty
by Kreinovich Feb. 10, 2019

Feb. 10, 2019

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[SIPTA] ISIPTA 2019: one month until paper submission closes
by Jasper De Bock Feb. 2, 2019

Feb. 2, 2019

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[SIPTA] DeepLearn 2019: early registration February 2
by IRDTA Jan. 29, 2019

Jan. 29, 2019

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[SIPTA] DeepLearn 2019: early registration February 2
by IRDTA Jan. 22, 2019

Jan. 22, 2019

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[SIPTA] 10 postdoc researchers @ IDSIA
by Marco Zaffalon Jan. 15, 2019

Jan. 15, 2019

IDSIA.ch is looking for 10 postdoctoral researchers in the following areas: Probabilistic machine learning, Bayesian statistics, (Bayesian) optimisation, time series analysis, probabilistic programming, graphical models/causal inference, probabilistic deep learning, natural language processing/understanding. The positions will be filled as soon as suitable candidates will be found. For details, please check: http://www.supsi.ch/home_en/supsi/lavora-con-noi/2019-06-30-bando586.html.

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[SIPTA] DeepLearn 2019: early registration February 2
by IRDTA Jan. 15, 2019

Jan. 15, 2019

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