Rchr
J-GLOBAL ID：201201065634630340   Update date: Sep. 29, 2024

Schwind Nicolas

Schwind ニコラ | Schwind Nicolas
Affiliation and department：
National Institute of Advanced Industrial Science and Technology Artificial Intelligence Research Center

About National Institute of Advanced Industrial Science and Technology Artificial Intelligence Research Center


Job title： Researcher
Homepage URL  (1)： https://staff.aist.go.jp/nicolas-schwind/
Research field  (2)： Intelligent informatics ,  Information theory
Research keywords  (8)： Belief Change ,  Logic Programming ,  Qualitative Spatial and Temporal Reasoning ,  Dynamics of Information ,  Multi-Objective Optimization Problems ,  Knowledge Representation and Reasoning ,  Artificial Intelligence ,  Systems Resilience
Research theme for competitive and other funds  (8)：
  • 2021 - 2025 Robust AI by Integration of Knowledge Representation and Machine Learning
  • 2020 - 2024 Resilience in the Facility Location Problem: Theory and Practice
  • 2024 - Learning Classifiers: A Belief Change Perspective
  • 2017 - 2021 Learning Relational Dynamics from State Transition
  • 2017 - 2020 Studies on Belief and Opinion Propagation in Multi-Agent Systems
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Papers (56)：
  • Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Pierre Marquis. BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24; Vancouver, Canada, February 20-27, 2024). 2024. 38. 9. 10696-10704
  • Nicolas Schwind, Katsumi Inoue, Pierre Marquis. Editing Boolean Classifiers: A Belief Change Perspective. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23; Washington, D.C., USA, February 7-14, 2023). 2023. 37. 5. 6516-6524
  • Nicolas Schwind, Emir Demirović, Katsumi Inoue, Jean-Marie Lagniez. Algorithms for partially robust team formation. Autonomous Agents and Multi-Agent Systems. 2023. 37. 2
  • Nicolas Schwind, Sébastien Konieczny, Ramón Pino Pérez. Iteration of Iterated Belief Revision. KR. 2023. 625-634
  • Eduardo Fermé, Sébastien Konieczny, Ramón Pino Pérez, Nicolas Schwind. Credible Models of Belief Update. KR. 2023. 252-261
ｍore...
MISC (3)：
Education (3)：
  • 2007 - 2010 University of Artois, Lens, France PhD in Computer Science
  • 2005 - 2007 University of Artois, Lens, France Master in Computer Science by Research
  • 2002 - 2005 University of Artois, Lens, France Bachelor in Computer Science
Professional career (1)：
  • PhD (University of Artois)
Work history (4)：
  • 2016/04 - 現在 National Institute of Advanced Industrial Science and Technology Artificial Intelligence Research Center Researcher
  • 2014/04 - 2016/03 Transdisciplinary Research Integration Center, Tokyo Project Assistant Professor
  • 2012/04 - 2014/03 National Institute of Informatics, Tokyo Special Appointed Researcher
  • 2007/10 - 2012/03 CRIL-CNRS, University of Artois, Lens, France Research and Teaching Assistant
Committee career (38)：
  • 2024 - PC member - The 33rd International Joint Conference on Artificial Intelligence (IJCAI'24)
  • 2024 - PC member - The 38th AAAI Conference on Artificial Intelligence (AAAI'24)
  • 2023 - Workshop and Tutorial co-chair - The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR'23)
  • 2023 - PC member - The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR'23)
  • 2023 - PC member - The 37th AAAI Conference on Artificial Intelligence (AAAI'23)
Show all
Awards (2)：
  • 2014/10 - The Joint Agent Workshop and Symposium (JAWS’14), Miyazaki, Japan. Excellent Paper Award and Single-long Presentation Award
  • 2013/05 - The 12th International Conference on Autonomous Agents and Multi-Agent Systems, Special Track on Challenges and Visions Papers (AAMAS’13). St Paul, MN, USA. Best Paper Award (3rd Prize)
Association Membership(s) (2)：
THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  THE ASSOCIATION FOR THE ADVANCEMENT OF ARTIFICIAL INTELLIGENCE
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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