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Ulrike Hahn
Person information
- affiliation: University of London, Birkbeck, UK
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2020 – today
- 2024
- [c33]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 - [i7]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
- [c32]Ulrike Hahn, Borut Trpin, Stephan Hartmann, Marko Tesic, Anita Keshmirian, Corina Strößner:
Causal Structure and Argumentative Value. CogSci 2023 - [c31]Anita Keshmirian, Babak Hemmatian, Ulrike Hahn, Stephan Hartmann:
Perceived Causal Strength in Chains vs. Common Causes. CogSci 2023 - [c30]Kirsty Phillips, Ulrike Hahn, Toby D. Pilditch:
Evaluating testimony from multiple witnesses: consistent undervaluing and selective devaluing of corroborating reports. CogSci 2023 - [c29]Corina Strößner, Ulrike Hahn:
How Well Do Humans Learn Conditional Probabilities? CogSci 2023 - [i6]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
- [j16]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) - [j15]Ulrike Hahn
:
Collectives and Epistemic Rationality. Top. Cogn. Sci. 14(3): 602-620 (2022) - [p3]Marko Tesic, Ulrike Hahn:
Explanation in AI systems. Human-Like Machine Intelligence 2022: 114-136 - [i5]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) - [i4]Ulrike Hahn, Jens Koed Madsen
, Chris Reed:
Managing Expert Disagreement for the Policy Process and Beyond. CoRR abs/2212.14714 (2022) - 2021
- [j14]Marion Vorms
, Ulrike Hahn:
In the Space of Reasonable Doubt. Synth. 198(15-S): 3609-3633 (2021) - [j13]Christoph Merdes
, Momme von Sydow, Ulrike Hahn:
Formal models of source reliability. Synth. 198(23): 5773-5801 (2021) - [c28]Stephan Hartmann, Ulrike Hahn:
How to Revise Beliefs from Conditionals: A New Proposal. CogSci 2021 - [c27]Jason Burton, Abdullah Almaatouq, M. Amin Rahimian, Ulrike Hahn:
Rewiring the Wisdom of the Crowd. CogSci 2021 - 2020
- [j12]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) - [c26]Stephan Hartmann, Ulrike Hahn:
A New Approach to Testimonial Conditionals. CogSci 2020 - [c25]Karolina Krzyzanowska, Peter Collins, Ulrike Hahn:
'...that P is relevant for Q': Indicative conditionals and learning from testimony. CogSci 2020 - [c24]Momme von Sydow, Niels Braus, Ulrike Hahn:
On the Malleability and Stability of Ignoring Group-Level Effects. CogSci 2020 - [c23]Marko Tesic, Ulrike Hahn:
Human-Generated Explanations of Inferences in Bayesian Networks: A Case Study. CogSci 2020 - [i3]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)
2010 – 2019
- 2019
- [j11]Ulrike Hahn, Momme von Sydow, Christoph Merdes:
How Communication Can Make Voters Choose Less Well. Top. Cogn. Sci. 11(1): 194-206 (2019) - [c22]Jason Burton, Nicole Cruz, Ulrike Hahn:
How Real is Moral Contagion in Online Social Networks? CogSci 2019: 175-181 - [c21]Jens Koed Madsen, Ulrike Hahn, Toby D. Pilditch:
Reasoning about dissent: Expert disagreement and shared backgrounds. CogSci 2019: 2228-2234 - [c20]Toby D. Pilditch, Ulrike Hahn, David A. Lagnado:
Shared Evidence: It all depends... CogSci 2019: 2571-2577 - [c19]Marko Tesic, Ulrike Hahn:
Sequential diagnostic reasoning with independent causes. CogSci 2019: 2947-2953 - [c18]Momme von Sydow, Niels Braus, Ulrike Hahn:
Thinking Locally or Globally? - Trying to Overcome the Tragedy of Personnel Evaluation with Stories or Selective Information Presentation. CogSci 2019: 3043-3049 - [c17]Ulrike Hahn, Toby D. Pilditch, Nicole Cruz:
Failing to see what you are a part of: Wisdom among crowd members. CogSci 2019: 3277 - [c16]Momme von Sydow, Christoph Merdes, Ulrike Hahn:
The Temporal Dynamics of Belief-based Updating of Epistemic Trust: Light at the End of the Tunnel? CogSci 2019: 3380 - [i2]Momme von Sydow, Christoph Merdes, Ulrike Hahn:
The Temporal Dynamics of Belief-based Updating of Epistemic Trust: Light at the End of the Tunnel? CoRR abs/1912.13380 (2019) - 2018
- [j10]Ulrike Hahn, Christoph Merdes, Momme von Sydow:
How Good Is Your Evidence and How Would You Know? Top. Cogn. Sci. 10(4): 660-678 (2018) - [c15]Ulrike Hahn, Momme von Sydow, Christoph Merdes:
How Communication Can Make Voters Choose Less Well. CogSci 2018 - [c14]Jens Koed Madsen, Ulrike Hahn, Toby D. Pilditch:
Partial source dependence and reliability revision: the impact of shared backgrounds. CogSci 2018 - [c13]Kirsty Phillips, Ulrike Hahn, Toby D. Pilditch:
Evaluating testimony from multiple witnesses: single cue satisficing or integration? CogSci 2018 - [c12]Toby D. Pilditch, Ulrike Hahn, David A. Lagnado:
Integrating dependent evidence: naïve reasoning in the face of complexity. CogSci 2018 - 2017
- [c11]Karolina Krzyzanowska, Peter Collins, Ulrike Hahn:
The Puzzle of Conditionals with True Clauses: Against the Gricean Account. CogSci 2017 - [c10]Jens Koed Madsen, Ulrike Hahn, Marion Vorms:
The dilution effect: Conversational basis and witness reliability. CogSci 2017 - [c9]Niels Skovgaard-Olsen, David Kellen, Ulrike Hahn, Karl Christoph Klauer:
Conditionals, Individual Variation, and the Scorekeeping Task. CogSci 2017 - [c8]Momme von Sydow, Niels Braus, Ulrike Hahn:
Overcoming the Tragedy of Personnel Evaluation? CogSci 2017 - [c7]Igor Volzhanin, Ulrike Hahn, Dell Zhang, Stephan Hartmann:
Rank Aggregation and Belief Revision Dynamics. CogSci 2017 - 2016
- [j9]Adam J. L. Harris, Ulrike Hahn, Jens Koed Madsen
, Anne S. Hsu:
The Appeal to Expert Opinion: Quantitative Support for a Bayesian Network Approach. Cogn. Sci. 40(6): 1496-1533 (2016) - [j8]Ulrike Hahn, Jos Hornikx
:
A normative framework for argument quality: argumentation schemes with a Bayesian foundation. Synth. 193(6): 1833-1873 (2016) - [j7]Ulrike Hahn, Adam J. L. Harris, Adam Corner:
Public Reception of Climate Science: Coherence, Reliability, and Independence. Top. Cogn. Sci. 8(1): 180-195 (2016) - 2015
- [c6]Peter Collins, Ulrike Hahn, Yvlva von Gerber, Erik J. Olsson:
The Bi-directional Relationship Between Source Characteristics and Message Content. CogSci 2015 - [c5]Igor Volzhanin, Ulrike Hahn, Martin Jonsson, Erik J. Olsson:
Individual Belief Revision Dynamics in a Group Context. CogSci 2015 - 2014
- [j6]Ulrike Hahn:
Experiential Limitation in Judgment and Decision. Top. Cogn. Sci. 6(2): 229-244 (2014) - [c4]Paul Warren, Umberto Gostoli, George Farmer, Mark Boyle, Wael El-Deredy, Andrew Howes, Ulrike Hahn:
Assessing the "bias" in human randomness perception. CogSci 2014 - 2013
- [j5]Ulrike Hahn, Adam J. L. Harris, Mike Oaksford
:
Rational argument, rational inference. Argument Comput. 4(1): 21-35 (2013) - [j4]Adam Corner, Ulrike Hahn
:
Normative theories of argumentation: are some norms better than others? Synth. 190(16): 3579-3610 (2013) - [c3]Adam J. L. Harris, Punit Shah, Caroline Catmur, Geoffrey Bird, Ulrike Hahn:
Autism, optimism and positive events: Evidence against a general optimistic bias. CogSci 2013 - [c2]Katherine Scott, Elena Sakkalou, Kate Ellis-Davies, Elma E. Hilbrink, Ulrike Hahn, Merideth Gattis:
Infant contributions to joint attention predict vocabulary development. CogSci 2013 - 2011
- [j3]Andreas Jarvstad
, Ulrike Hahn
:
Source Reliability and the Conjunction Fallacy. Cogn. Sci. 35(4): 682-711 (2011) - [r1]Nick Chater, Mike Oaksford
, Ulrike Hahn, Evan Heit:
Inductive Logic and Empirical Psychology. Inductive Logic 2011: 553-624
2000 – 2009
- 2006
- [j2]Ulrike Hahn
, Mike Oaksford
:
A Bayesian Approach to Informal Argument Fallacies. Synth. 152(2): 207-236 (2006) - 2001
- [p2]Ulrike Hahn, Michael Ramscar:
Introduction: similarity and categorization. Similarity and Categorization 2001 - [p1]Ulrike Hahn, Michael Ramscar:
Conclusion: mere similarity? Similarity and Categorization 2001 - [e1]Ulrike Hahn, Michael Ramscar:
Similarity and Categorization. Oxford University Press 2001, ISBN 978-0-19-850628-7 [contents]
1990 – 1999
- 1998
- [j1]Ulrike Hahn, Nick Chater:
Understanding Similarity: A Joint Project for Psychology, Case-Based Reasoning, and Law. Artif. Intell. Rev. 12(5): 393-427 (1998) - 1996
- [c1]Carl Vogel, Ulrike Hahn, Holly P. Branigan:
Cross-Serial Dependencies Are Not Hard to Process. COLING 1996: 157-162 - [i1]Ramin Charles Nakisa, Ulrike Hahn:
Where Defaults Don't Help: the Case of the German Plural System. CoRR cmp-lg/9605020 (1996)
Coauthor Index
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last updated on 2024-08-04 19:11 CEST by the dblp team
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