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- Ulrike Hahn
![[0000-0002-7744-8589]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7744-8589")
University of London, Birkbeck, UK
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Publication search results
found 77 matches
- 2024
- Ulrike Hahn
:
Expanding the Scope of Bayesian Argumentation. COMMA 2024: 4-7 - Anita Keshmirian, Rafael Fuchs, Yuan Cao, Stephan Hartmann, Ulrike Hahn:
From Networks to Narratives: Bayes Nets and the Problems of Argumentation. RATIO 2024: 237-252 - Davide Grossi, Ulrike Hahn, Michael Mäs, Andreas Nitsche, Jan Behrens, Niclas Boehmer, Markus Brill, Ulle Endriss, Umberto Grandi, Adrian Haret, Jobst Heitzig, Nicolien Janssens, Catholijn M. Jonker, Marijn A. Keijzer, Axel Kistner, Martin Lackner, Alexandra Lieben, Anna Mikhaylovskaya, Pradeep K. Murukannaiah, Carlo Proietti, Manon Revel, Élise Rouméas, Ehud Shapiro, Gogulapati Sreedurga, Björn Swierczek, Nimrod Talmon, Paolo Turrini, Zoi Terzopoulou, Frederik Van De Putte:
Enabling the Digital Democratic Revival: A Research Program for Digital Democracy. CoRR abs/2401.16863 (2024) - 2023
- Ulrike Hahn, Borut Trpin, Stephan Hartmann, Marko Tesic, Anita Keshmirian, Corina Strößner:
Causal Structure and Argumentative Value. CogSci 2023 - Anita Keshmirian, Babak Hemmatian, Ulrike Hahn, Stephan Hartmann:
Perceived Causal Strength in Chains vs. Common Causes. CogSci 2023 - Kirsty Phillips, Ulrike Hahn, Toby D. Pilditch:
Evaluating testimony from multiple witnesses: consistent undervaluing and selective devaluing of corroborating reports. CogSci 2023 - Corina Strößner, Ulrike Hahn:
How Well Do Humans Learn Conditional Probabilities? CogSci 2023 - Leon Assaad, Rafael Fuchs, Ammar Jalalimanesh, Kirsty Phillips, Leon Schoeppl, Ulrike Hahn:
A Bayesian Agent-Based Framework for Argument Exchange Across Networks. CoRR abs/2311.09254 (2023) - 2022
- Marko Tesic, Ulrike Hahn:
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? Patterns 3(12): 100635 (2022) - Ulrike Hahn:
Collectives and Epistemic Rationality. Top. Cogn. Sci. 14(3): 602-620 (2022) - Elisabeth Eder, Michael Wiegand, Ulrike Krieg-Holz, Udo Hahn:
"Beste Grüße, Maria Meyer" - Pseudonymization of Privacy-Sensitive Information in Emails. LREC 2022: 741-752 - Marko Tesic, Ulrike Hahn:
Explanation in AI systems. Human-Like Machine Intelligence 2022: 114-136 - Marko Tesic, Ulrike Hahn:
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? CoRR abs/2205.06241 (2022) - Ulrike Hahn, Jens Koed Madsen, Chris Reed:
Managing Expert Disagreement for the Policy Process and Beyond. CoRR abs/2212.14714 (2022) - 2021
- Christoph Merdes, Momme von Sydow, Ulrike Hahn:
Formal models of source reliability. Synth. 198(23): 5773-5801 (2021) - Marion Vorms, Ulrike Hahn:
In the Space of Reasonable Doubt. Synth. 198(15-S): 3609-3633 (2021) - Stephan Hartmann, Ulrike Hahn:
How to Revise Beliefs from Conditionals: A New Proposal. CogSci 2021 - Jason Burton, Abdullah Almaatouq, M. Amin Rahimian, Ulrike Hahn:
Rewiring the Wisdom of the Crowd. CogSci 2021 - Elisabeth Eder, Ulrike Krieg-Holz, Udo Hahn:
Acquiring a Formality-Informed Lexical Resource for Style Analysis. EACL 2021: 2028-2041 - 2020
- Ulrike Hahn, Jens Ulrik Hansen, Erik J. Olsson:
Truth tracking performance of social networks: how connectivity and clustering can make groups less competent. Synth. 197(4): 1511-1541 (2020) - Stephan Hartmann, Ulrike Hahn:
A New Approach to Testimonial Conditionals. CogSci 2020 - Karolina Krzyzanowska, Peter Collins, Ulrike Hahn:
'...that P is relevant for Q': Indicative conditionals and learning from testimony. CogSci 2020 - Momme von Sydow, Niels Braus, Ulrike Hahn:
On the Malleability and Stability of Ignoring Group-Level Effects. CogSci 2020 - Marko Tesic, Ulrike Hahn:
Human-Generated Explanations of Inferences in Bayesian Networks: A Case Study. CogSci 2020 - Elisabeth Eder, Ulrike Krieg-Holz, Udo Hahn:
CodE Alltag 2.0 - A Pseudonymized German-Language Email Corpus. LREC 2020: 4466-4477 - Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR abs/2003.01207 (2020) - 2019
- Ulrike Hahn, Momme von Sydow, Christoph Merdes:
How Communication Can Make Voters Choose Less Well. Top. Cogn. Sci. 11(1): 194-206 (2019) - Jason Burton, Nicole Cruz, Ulrike Hahn:
How Real is Moral Contagion in Online Social Networks? CogSci 2019: 175-181 - Ulrike Hahn, Toby D. Pilditch, Nicole Cruz:
Failing to see what you are a part of: Wisdom among crowd members. CogSci 2019: 3277 - Jens Koed Madsen, Ulrike Hahn, Toby D. Pilditch:
Reasoning about dissent: Expert disagreement and shared backgrounds. CogSci 2019: 2228-2234
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