12 Publikationen
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2963559Husemann, S., Pöppel, J., Kopp, S.: Differences and Biases in Mentalizing About Humans and Robots. Proc. of the 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2022). p. 490-497. (2022).PUB
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2021 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2957587Pöppel, J., Kopp, S.: Adaptive and Satisficing Cognition for Theory of Mind in Interaction. Program of the Computational Cognition Workshop 2021 (ComCo 2021). (2021).PUB
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2955287Pöppel, J., Marsella, S., Kopp, S.: 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). (2021).PUB | PDF
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2020 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2944407Pöppel, J., Kopp, S.: 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. p. 12-13. (2020).PUB
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935637Pöppel, J., Kopp, S.: Egocentric Tendencies in Theory of Mind Reasoning: An Empirical and Computational Analysis. Proceedings of CogSci 2019 (41st Annual Meeting of the Cognitive Science Society). p. 2585--2591. (2019).PUB
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2019 | Datenpublikation | PUB-ID: 2934879Pöppel, J.: Supplementary Material for: Satisficing Mentalizing: Bayesian Theory of Mind Reasoning in Scenarios with varying Uncertainty. Bielefeld University (2019).PUB | Dateien verfügbar | DOI
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2019 | Preprint | Unveröffentlicht | PUB-ID: 2934892Pöppel, J., Kopp, S.: Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties. arxiv:1909.10419. (Unpublished).PUB | Download (ext.) | arXiv
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2917285Pöppel, J., Kopp, S.: 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). (2018).PUB
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2018 | Datenpublikation | PUB-ID: 2918529Pöppel, J.: Data and Analysis for: Satisficing Models of Bayesian Theory of Mind for Explaining Behavior of Differently Uncertain Agents. Bielefeld University (2018).PUB | Dateien verfügbar | DOI
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2018 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2932141Pöppel, J.: Towards Satisficing Mental Models for Behavior Understanding. Program of the 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018). (2018).PUB