PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [12]
  

  2023 | Bielefelder E-Dissertation | PUB-ID: 2969648

  Pöppel, J. (2023). Models for Satisficing Mentalizing. Bielefeld: Universität Bielefeld. doi:10.4119/unibi/2969648.

  PUB | PDF | DOI
   
• [11]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2963559

  Husemann, S., Pöppel, J. & Kopp, S. (2022). Differences and Biases in Mentalizing About Humans and Robots. Proc. of the 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2022) (S. 490-497). Gehalten auf der IEEE International Conference on Robot & Human Interactive Communication.

  PUB
   
• [10]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959660

  Pöppel, J., Kahl, S. & Kopp, S. (2021). Resonating Minds—Emergent Collaboration Through Hierarchical Active Inference. Cognitive Computation, 14(2), 581–601. Springer . doi:10.1007/s12559-021-09960-4.

  PUB | PDF | DOI | WoS
   
• [9]
  

  2021 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2957587

  Pöppel, J. & Kopp, S. (2021). Adaptive and Satisficing Cognition for Theory of Mind in Interaction. Program of the Computational Cognition Workshop 2021 (ComCo 2021). Gehalten auf der Computational Cognition 2021.

  PUB
   
• [8]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955287

  Pöppel, J., Marsella, S. & Kopp, S. (2021). Less Egocentric Biases in Unsolicited Theory of Mind When Observing Agents in Unbalanced Decision Problems. Proceedings of CogSci 2021 (43st Annual Meeting of the Cognitive Science Society). Gehalten auf der The 43st Annual Meeting of the Cognitive Science Society (CogSci 2021) .

  PUB | PDF
   
• [7]
  

  2020 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2944407

  Pöppel, J. & Kopp, S. (2020). Uncovering factors for sub-optimal mentalizing in humans. The role and relationship of mindreading and social attunement in HRI – position statements of interdisciplinary researchers. Workshop HRI'20 (S. 12-13). Gehalten auf der ACM/IEEE International Conference on Human-Robot Interaction.

  PUB
   
• [6]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935637

  Pöppel, J. & Kopp, S. (2019). Egocentric Tendencies in Theory of Mind Reasoning: An Empirical and Computational Analysis. Proceedings of CogSci 2019 (41st Annual Meeting of the Cognitive Science Society) (S. 2585--2591). Gehalten auf der The 41st Annual Meeting of the Cognitive Science Society (CogSci 2019).

  PUB
   
• [5]
  

  2019 | Datenpublikation | PUB-ID: 2934879

  Pöppel, J. (2019). Supplementary Material for: Satisficing Mentalizing: Bayesian Theory of Mind Reasoning in Scenarios with varying Uncertainty. Bielefeld University. doi:10.4119/unibi/2934879.

  PUB | Dateien verfügbar | DOI
   
• [4]
  

  2019 | Preprint | Unveröffentlicht | PUB-ID: 2934892

  Pöppel, J. & Kopp, S. (Unpublished). Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties. arxiv:1909.10419.

  PUB | Download (ext.) | arXiv
   
• [3]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2917285

  Pöppel, J. & Kopp, S. (2018). Satisficing Models of Bayesian Theory of Mind for Explaining Behavior of Differently Uncertain Agents. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018). Gehalten auf der International Conference on Autonomous Agents and Multiagent Systems.

  PUB
   
• [2]
  

  2018 | Datenpublikation | PUB-ID: 2918529

  Pöppel, J. (2018). Data and Analysis for: Satisficing Models of Bayesian Theory of Mind for Explaining Behavior of Differently Uncertain Agents. Bielefeld University. doi:10.4119/unibi/2918529.

  PUB | Dateien verfügbar | DOI
   
• [1]
  

  2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2932141

  Pöppel, J. (2018). Towards Satisficing Mental Models for Behavior Understanding. Program of the 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018). Gehalten auf der Biannual Conference of the German Society for Cognitive Science.

  PUB