November 2022 - SIPTA News - lists.sipta.org

Re: mark your calendars: IEEE Systems, Man, and Cybernetics conferences
by Kreinovich, Vladik 28 Nov '22

28 Nov '22

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 28 Nov '22

28 Nov '22

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 21 Nov '22

21 Nov '22

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 20 Nov '22

20 Nov '22

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 12 Nov '22

12 Nov '22

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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