12 Publikationen
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2023 | Bielefelder E-Dissertation | PUB-ID: 2969648Pöppel, J. (2023). Models for Satisficing Mentalizing. Bielefeld: Universität Bielefeld. https://doi.org/10.4119/unibi/2969648PUB | PDF | DOI
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2963559Husemann, 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), 490-497.PUB
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959660Pöppel, J., Kahl, S., & Kopp, S. (2021). Resonating Minds—Emergent Collaboration Through Hierarchical Active Inference. Cognitive Computation, 14(2), 581–601. https://doi.org/10.1007/s12559-021-09960-4PUB | PDF | DOI | WoS
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2021 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2957587Pöppel, J., & Kopp, S. (2021). Adaptive and Satisficing Cognition for Theory of Mind in Interaction. Program of the Computational Cognition Workshop 2021 (ComCo 2021)PUB
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955287Pöppel, 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)PUB | PDF
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2020 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2944407Pöppel, 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, 12-13.PUB
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935637Pöppel, 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), 2585--2591.PUB
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2019 | Datenpublikation | PUB-ID: 2934879Pöppel, J. (2019). Supplementary Material for: Satisficing Mentalizing: Bayesian Theory of Mind Reasoning in Scenarios with varying Uncertainty. Bielefeld University. doi:10.4119/unibi/2934879PUB | Dateien verfügbar | DOI
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2019 | Preprint | Unveröffentlicht | PUB-ID: 2934892Pöppel, J., & Kopp, S. (Unpublished). Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties. arxiv:1909.10419PUB | Download (ext.) | arXiv
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2917285Pöppel, 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)PUB
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2018 | Datenpublikation | PUB-ID: 2918529Pöppel, 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/2918529PUB | Dateien verfügbar | DOI
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2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2932141Pöppel, J. (2018). Towards Satisficing Mental Models for Behavior Understanding. Program of the 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018)PUB