12 Publikationen
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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. In Proc. of the 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2022). pp. 490-497.PUB
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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. In 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. In 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. In The role and relationship of mindreading and social attunement in HRI – position statements of interdisciplinary researchers. Workshop HRI'20. pp. 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. In Proceedings of CogSci 2019 (41st Annual Meeting of the Cognitive Science Society). pp. 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.PUB | 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2019 | Preprint | Unveröffentlicht | PUB-ID: 2934892Pöppel, J., & Kopp, S., Unpublished.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:1909.10419.PUB | 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. In 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.PUB | Dateien verfügbar | DOI
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2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2932141Pöppel, J., 2018. Towards Satisficing Mental Models for Behavior Understanding. In Program of the 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018).PUB