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IUKM 2023 Call for Papers [Kanazawa, Japan, November 02-04, 2023]
by Van-Nam HUYNH Dec. 26, 2022

Dec. 26, 2022

[Apologies for cross-posting. Your help in circulating this call for papers to potentially interested parties is highly appreciated.] ———————————————————————————————————————————————————— CALL FOR PAPERS ———————————————————————————————————————————————————— IUKM 2023: The Tenth International Symposium on INTEGRATED UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING Kanazawa, JAPAN, November 02-04, 2023 Conference website: https://www.jaist.ac.jp/IUKM/IUKM2023/ Submission link: https://cmt3.research.microsoft.com/IUKM2023 Submission deadline: May 15, 2023 ———————————————————————————————————————————————————— The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application. The Tenth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2023) will be held in Kanazawa, Japan during 02-04 November, 2023, and be jointly organized by Japan Advanced Institute of Science and Technology (JAIST), University of Science (Vietnam National University Ho Chi Minh City), Vietnam, and Osaka University, Japan. Submission Guidelines: All papers must be original and not simultaneously submitted to another journal or conference. The authors are invited to submit their full papers by May 15, 2023. The submissions will be peer-reviewed for originality and scientific quality. Authors are requested to prepare their papers in the Springer format. Submissions should not exceed 12 pages and must be submitted as PDF electronically through the conference's CMT submission page. List of Topics Relevant topics for the IUKM 2023 Symposium include (but are not limited to) the following: — Theory and Methodology • Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods • Modelling uncertainty and inconsistency in big data • Learning and reasoning with uncertainty • Logics for reasoning under uncertainty • Uncertainty modelling in machine learning and deep learning • Information fusion and knowledge integration in uncertain environments • Decision making under various types of uncertainty • Aggregation operators for decision making • Copulas for dependence modelling • Granular and soft computing • Computational intelligence — Application • Data mining and knowledge discovery • Multi-agent reinforcement learning • Ontology engineering and Semantic Web • Privacy preserving data analysis • Intelligent data analysis and modelling • Agents and argumentation • Natural language processing • Medical informatics and bioinformatics • Ranking and recommendation systems • Big data and cloud computing • Social network analysis and mining • Sensor fusion • System identification and modelling • Diagnosis and reliability • Decision support systems • Kansei/affective engineering • Service computing • Engineering management • Supply chain management • Environmental management • Economics and econometrics • Statistics and Applications ——————————————————————————————————————————— Publication As done in previous editions, the proceedings of IUKM 2023 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Conference. _______________________________________________ General Chairs: Masahiro Inuiguchi (Osaka University, Japan) Youji Kohda (Japan Advanced Institute of Science and Technology, Japan) Program Chairs: Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan) Bac H. Le (University of Science, Vietnam National University (VNU)-Ho Chi Minh City, Vietnam) Katsuhiro Honda (Osaka Prefecture University, Japan)

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FW: invitation to a special issue
by Kreinovich, Vladik Dec. 22, 2022

Dec. 22, 2022

Special Issue of a Springer journal "Archive of Applied Mechanics" on Numerical analysis and design of structures including polymorphic uncertain data edited by Michael Kaliske, Technische Universitaet Dresden, Germany Vladik Kreinovich, The University of Texas at El Paso, USA Numerical simulation of structures is currently often characterized by deterministic methods. Deterministic models of the reality indicate preciseness and safety, while, on contrary all available data and information are characterized by various types of uncertainty (variability, imprecision, incompleteness), which cannot be neglected. Polymorphic uncertainty comprehends all of these types of uncertainty and their combinations. The main focus of the special issue is the presentation of methods for the numerical analysis and design of structures under consideration of polymorphic data uncertainty. Engineering solutions are characterized by inherent robustness and flexibility as essential features for a faultless life of structures under uncertain and changing conditions. Implementing these features in a system requires comprehensive consideration of uncertainty in the model parameters, in environmental and human imposed loads as well as other types of intrinsic and epistemic uncertainties. Numerical design of structures should be robust with respect to (spatial and time dependent) uncertainties inherently present in material characteristics, boundary conditions etc. This requires in turn a reliable numerical analysis, assessment and prediction of the lifecycle of structures, taking explicitly into account the effect of unavoidable uncertainties (limited or dubious information, human factors, subjectivity and experience, linguistic assessment, imprecise measurement, unclear physics etc.). Recent developments of numerical methods in the field of "real world" engineering problems, which include a comprehensive consideration of uncertainty and associated efficient analysis techniques are requested. Contributions regarding respective advanced methods, such as stochastic analysis, interval analysis, fuzzy analysis, polymorphic uncertainty quantification, surrogate modeling, multi-fidelity simulation and high performance computing are explicitly invited. These may address the incorporation of dependencies within and between uncertain quantities as well as uncertainty models for spatial and temporal dependent quantities At https://www.springer.com/journal/419, you can find the submission system of the publisher. Please do not forget to indicate the special issue when submitting. The deadline for submissions is June 30, 2023. We are looking forward to receiving your manuscripts. Michael Kaliske michael.kaliske(a)tu-dresden.de<mailto:michael.kaliske@tu-dresden.de> and Vladik Kreinovich vladik(a)utepo.edu<mailto:vladik@utepo.edu>

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a short update on isipta'2023
by Enrique Miranda Dec. 22, 2022

Dec. 22, 2022

Dear fellow Siptians, While we will be sending more detailed information after the holidays, I'd like to give a small update on the organisation of the upcoming ISIPTA. Further details can be found at our website https://isipta23.sipta.org/. You may also check our twitter @isipta2023 for regular updates. A few key points: -Our plenary speakers shall be Gert de Cooman (Ghent University), Marta Kwiatkowska (University of Oxford) and Michel Grabisch (University Paris I). -We shall also make a hommage to the late Terry Fine. -There shall be a poster award and an IJAR young researcher award. The award committees are Ruobin Gong, Alexander Erreygers, Davide Petturiti and Raul Pérez-Fernández (poster award) and Inés Couso, Denis Mauá and Paolo Vicig (IJAR award). Further details shall be given around February. -There will be 4 fellowships to support the attendance of young students, funded by Artificial Intelligence. Details will be given after acceptance of papers/poster abstracts. -The deadline for abstract submission is January 29 and of paper submission, February 5. Looking forward to welcome you all in Oviedo in July! Best regards, Enrique Miranda

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[CFP] Uncertain Reasoning Special Track at The 36th International FLAIRS Conference (UR@FLAIRS-36)
by Kai Sauerwald Dec. 20, 2022

Dec. 20, 2022

*** Second Call for Papers *** ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Uncertain Reasoning (UR) Special Track at The 36th International FLAIRS Conference (FLAIRS-36) In cooperation with the American Association for Artificial Intelligence Clearwater Beach, Florida, USA May 14-17, 2023 Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notification: March 13, 2023 All accepted papers will be included in the FLAIRS proceedings published by Florida Online Journals Invited papers will be published in a special journal issue http://ur-flairs.github.io/2023/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Call For Papers The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR Special Track at the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-36) is the 28th in the series. Like the past tracks, UR seeks to bring together researchers working on broad issues related to reasoning under uncertainty. Topics of Interest Papers on all aspects of uncertain reasoning are invited. Papers of particular interest include, but are not limited to: *Uncertain reasoning formalisms, calculi and methodologies *Reasoning with probability, possibility, fuzzy logic, belief function, vagueness, granularity, rough sets, and probability logics *Modeling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities *Exact, approximate and qualitative uncertain reasoning *Probabilistic graphical models of uncertainty such as: Bayesian networks, Markov random field, probabilistic circuits *Multi-agent uncertain reasoning and decision-making *Decision-theoretic planning and Markov decision process *Temporal reasoning and uncertainty *Non-monotonic reasoning *Conditional Logics *Argumentation *Belief change and merging *Similarity-based reasoning *Ontologies and description logics *Construction of models from elicitation, data mining and knowledge discovery *Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment *Uncertain reasoning in data management *Practical applications of uncertain reasoning *Learning probabilistic models *Applications in computer vision and animation === Paper Submission and Publication === Submitted papers must be original, and not submitted concurrently to a journal or another conference while under review. Interested authors should format their papers according to FLAIRS-36 conference formatting guidelines. Papers should not exceed 6 pages (4 pages for a poster) and are due by February 13, 2023. The reviewing is a double blind process. Author names and affiliations must be omitted on submitted papers. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-36.info/) Authors should indicate the Uncertain Reasoning special track for submissions. All accepted papers will be included in the proceedings of FLAIRS, which will be published by the Florida Online Journals. FLAIRS requires that there be at least one full author registration per paper. Instructions on the submission procedure are available at the UR website: http://ur-flairs.github.io/2023 We anticipate there will be a special issue devoted to extended versions of selected papers at the track. === Important Dates === Abstract submission due: Feb. 6, 2023 Paper submission due: Feb. 13, 2023 Author Notification: Mar. 13, 2023 === Program Committee === [ Track Chairs ] Kai Sauerwald University of Hagen, Germany Choh Man Teng Institute for Human and Machine Cognition, USA [ PC Members ] Mohand Said Allili (Université du Québec en Outaouais) Alessandro Antonucci (IDSIA, Switzerland) Ofer Arieli (The Academic College of Tel-Aviv, Israel) Christoph Beierle (FernUniversität in Hagen, Israel) Salem Benferhat (University of Artois, France) Stefano Bistarelli (University of Perugia, Italy) Nizar Bouguila (Concordia University, Canada) Martine Ceberio (University of Texas at El Paso, US) Lluis Godo (University of Barcelona, Spain) Christophe Gonzales (LIS, France) Gabriele Kern-Isberner (University of Technology Dortmund, Germany) Vladik Kreinovich (University of Texas at El Paso, US) Philippe Leray (University of Nantes, France) Nicholas Mattei (Tulane University, US) Ralf Möller (University of Lübeck, Germany) Rafael Peñaloza Nyssen (University of Milano-Bicocca, Italy) Eugene Santos (Dartmouth College, US) Dilip Sarkar (University of Miami, US) Kari Sentz (Los Alamos National Laboratory, US) Karima Sedki (University of Paris 13, France) Karim Tabia (University of Artois, France) Carlo Taticchi (University of Perugia, Italy) === Travel Information === Additional information on the conference locale and travel planning can be found at http://www.flairs-36.info.

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CFP "Logics for the New AI Spring"
by hykel hosni Dec. 6, 2022

Dec. 6, 2022

Dear All, I'd like to draw attention to the following IJAR call for paper. We aim primarily at conceptual advance on the topic of the S.I. Best wishes, hykel ------------------------------------------------ Second call for papers ------------------------------------------------ *Logics for the new AI spring* The development of logics capable to perform human-like reasoning is one of the central objectives around which the logical community of Artificial Intelligence moved its first steps. Besides being a fundamental tool of knowledge representation and reasoning, logical tools are expected to play a key role in the future of AI especially owing to their ability to integrate symbolic and sub-symbolic AI. The scope of the special issue includes, but is not limited to the following topics: (1) Logical methods in symbolic AI; (2) Logical methods in machine learning; (3) Machine learning in a logical setting; (4) Reasoning and (interactive) decision making under uncertainty. *Guest editors:* *Dr. Tommaso Flaminio (Managing Guest Editor)*Instituto de Investigación en Inteligencia Artificial (IIIA - CSIC) Email: tommaso(a)iiia.csic.es *Prof. Hykel Hosni*Dipartimento di Filosofia, Università degli Studi di Milano Email: hykel.hosni(a)unimi.it *Manuscript submission information:* *Submission Guidelines:* Authors should prepare their manuscripts according to the "Instructions for Authors" guidelines of the *International Journal of Approximate Reasoning* outlined at the journal website: https://www.elsevier.com/journals/international-journal-of-approximate-reas… . *Submissions are expected to be written in LaTeX*. All papers will be peer-reviewed following a regular reviewing procedure. All manuscripts should be submitted electronically through Editorial Manager ® at https://www.editorialmanager.com/ija/default1.aspx. When submitting papers, please select Article Type as "VSI:Logics for AI spring". Important Dates: - Submission Deadline: 1st March 2023 - Editorial Acceptance Deadline" 31st July 2023 Keywords: Logic for AI; Machine Learning, Knowledge Representation; Symbolic AI; Hybrid systems. Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues

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Re: mark your calendars: IEEE Systems, Man, and Cybernetics conferences
by Kreinovich, Vladik Nov. 28, 2022

Nov. 28, 2022

Dear Friends, At today's meeting of the IEEE Systems, Man, and Cybernetics (SMC) Society Board, it was decided that the 2025 IEEE SMC conference will be held in Vienna, Austria, on October 5-8, 2025. The next IEEE SMC conference SMC'2023 will be in Maui, Hawaii, October 1-4, 2023; deadline for special session proposals February 1, 2023; deadline for workshop and tutorial proposals and for papers March 30, 2023, see https://ieeesmc2023.org/ for details. IEEE SMC'2024 will be in Kuching City, Sarawak, Malaysia, on October 7-10, 2024. IEEE SMC'2026 will be in Seattle, Washington, October 11-14, 2026. Papers using imprecise probabilities are always welcome at this series of conferences, mark your calendars - and see you there!

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Next seminar: tomorrow at 3pm CET (Paris Time)
by Sébastien Destercke Nov. 28, 2022

Nov. 28, 2022

Dear all, Just a friendly reminder that our next SIPTA seminar is tomorrow, 3pm CET (Paris Time), and that Fabio Cozman will give us a talk about uncertainty in argumentation. See you there! The SIPTA seminar organizing committee.

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FW: dissertation of Dominik Hose
by Kreinovich, Vladik Nov. 21, 2022

Nov. 21, 2022

An interesting 2022 PhD dissertation by Dominik Hose "Possibilistic Reasoning with Imprecise Probabilities: Statistical Inference and Dynamic Filtering" is available at https://dominikhose.github.io/dissertation/diss_dhose.pdf

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Two next SIPTA seminars: 29th November and 14th December (both 15:00 CEST))
by Sébastien Destercke Nov. 20, 2022

Nov. 20, 2022

Dear SIPTiAns and IP enthusiasts, We are delighted to announce our upcoming fifth and sixth SIPTA online seminars on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The fifth seminar will take place on the 29th of November (Tuesday) and the sixth on the 14th of December (Wednesday), both at 3pm CEST. The zoom link for the next seminar (29th) is https://utc-fr.zoom.us/j/87301217403 For this fifth seminar, we are very happy to have Fabio Cozman as our speaker. Fabio Cozman is a Full Professor at Escola Politécnica (Poli), Universidade de São Paulo (USP), and Director of the Center for Artificial Intelligence at USP. He has made many core contribution to artificial intelligence in general, on such varied topics as graphical models, logic or machine learning. He is also interested in the very foundations of reasoning under uncertainty, and has made numerous core contributions to imprecise probability. On the 29th November, at 15:00 CEST (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Dealing with Uncertain Arguments in Artificial Intelligence”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page shortly before the event. So please mark your calendars on the 29th November, at 15:00 CEST, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/watch?v=g10_mhNfMWs. See you at the seminar! Sébastien, Enrique and Jasper

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Springer special Issue in Annals of Mathematics and Artificial Intelligence: Recent advances in preference handling
by Sébastien Destercke Nov. 12, 2022

Nov. 12, 2022

Please forward this announcement to anyone who may be interested. Please accept our apology if you have received duplicate copies. ======================= Key information ====================== Special issue on recent advances in preference handling Description To submit: login to https://www.editorialmanager.com/amai/default2.aspx and when selecting article type, choose "S721: preference handling" (you may have to scroll down). Key dates: • Submissions deadline: 15th January 2023 • Feedbacks: two to three months after reception of the submission or its revision • Expected date of the special issue termination: 15th September 2023 Guest editors: Sébastien Destercke - corresponding editor (sebastien.destercke(a)hds.utc.fr) Meltem Ozturk Escoffi er (meltem.ozturk(a)dauphine.fr) Paolo Viappiani (paolo.viappiani(a)dauphine.psl.eu) Christophe Labreuche (christophe.labreuche(a)thalesgroup.com) Khaled Belahcene (khaled.belahcene(a)hds.utc.fr) =============================================================== Human-centered AI requires that AI systems are able to adapt to humans, to understand the preferences underlying human choice behavior, and to take them into account when interacting with humans or when acting on their behalf. Preference models are needed in decision-support systems such as web-based recommender systems, in digital assistants and chatbots, in automated problem solvers such as configurators, and in autonomous systems such as Mars rovers. Nearly all areas of artificial intelligence deal with choice situations and can thus benefit from computational methods for handling preferences while gaining new capabilities such as explainability and revisability of choices. Preference handling is also important for machine learning as preferences may guide learning behaviour and be subject of dedicated learning methods. Moreover, social choice methods are of key importance in computational domains such as multi-agent systems. Preferences are studied in many areas of artificial intelligence such as knowledge representation & reasoning, multi-agent systems, game theory, computational social choice, constraint satisfaction, logic programming and non-monotonic reasoning, decision making, decision-theoretic planning, and beyond. Preferences are inherently a multi-disciplinary topic, of interest to economists, computer scientists (including AI, databases, and human-computer interaction), operations researchers, mathematicians and more. Given the increasing importance of handling preferences and of AI methods in general, we are organizing a journal special issue focusing on the recent advances on preference handling and learning, be it through symbolic or numerical models. Topics covered in the special issue include • elicitation of preferences, • (statistical) learning of preferences, • uncertainty in preferences, • modelling and representation of preferences, • aggregation of preferences, • reasoning with preferences, • explaining preferences, • use of preferences in decision making (multicriteria, decision of group) database querying, web search, personalized human-computer interaction, personalized recommender systems, e-commerce, multi-agent systems, game theory, computational social choice, combinatorial optimization, automated problem solving, non-monotonic reasoning, planning and robotics, perception and natural language understanding, applications in particular domains (e.g., healthcare, sustainability). Deadlines and review process: Every submission will be thoroughly reviewed by at least two external reviewers and carefully supervised by one of the guest editors, who will make every effort to guarantee high quality standards. Submissions will be sent to reviewers as soon as they will be submitted, and quickly published on-line in case of acceptance. The guest editors Sébastien, Meltem, Paolo, Christophe and Khaled.

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