Rchr
J-GLOBAL ID：201201065634630340   Update date: Apr. 12, 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  (5)：
  • 2017 - 2021 Learning Relational Dynamics from State Transition
  • 2017 - 2020 Studies on Belief and Opinion Propagation in Multi-Agent Systems
  • 2014 - 2017 Modeling and Inference of Resilient Systems
  • 2015 - 2016 Gossip, influence and manipulation of beliefs evolving in social networks
  • 2013 - 2014 Fundamental Concepts on the Dynamics of Beliefs in a Logical Setting
Papers (47)：
  • 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, Tenda Okimoto, Katsumi Inoue, Katsutoshi Hirayama, Jean-Marie Lagniez, Pierre Marquis. On the computation of probabilistic coalition structures. Autonomous Agents and Multi-Agent Systems. 2021. 35. 1
  • Emir Demirovic, Nicolas Schwind. Representative Solutions for Bi-Objective Optimisation. The 34th AAAI Conference on Artificial Intelligence (AAAI'20). 2020
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 (22)：
  • 2020 - PC member - The 29th International Joint Conference on Artificial Intelligence (IJCAI-PRICAI'20)
  • 2020 - PC member - The 34th AAAI Conference on Artificial Intelligence (AAAI'20)
  • 2020 - PC member - The 24th European Conference on Artificial Intelligence (ECAI'20)
  • 2019 - PC member - The 28th International Joint Conference on Artificial Intelligence (IJCAI'19)
  • 2019 - PC member - The 13th Multi-disciplinary International Conference on Artificial Intelligence (MIWAI'19)
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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