Widening access to Bayesian problem solving N Cruz, SC Desai, S Dewitt, U Hahn, D Lagnado, A Liefgreen, K Phillips, ... Frontiers in psychology 11, 660, 2020 | 18 | 2020 |
Explaining away: significance of priors, diagnostic reasoning and structural complexity. A Liefgreen, M Tesic, DA Lagnado CogSci, 2018 | 15 | 2018 |
The propensity interpretation of probability and diagnostic split in explaining away M Tešić, A Liefgreen, D Lagnado Cognitive psychology 121, 101293, 2020 | 12 | 2020 |
Confirmation by explanation: A Bayesian justification of IBE M Tesic, B Eva, S Hartmann | 12 | 2017 |
Can counterfactual explanations of AI systems’ predictions skew lay users’ causal intuitions about the world? If so, can we correct for that? M Tešić, U Hahn Patterns 3 (12), 2022 | 9 | 2022 |
Proceedings of the 40th Annual Conference of the Cognitive Science Society A Liefgreen, M Tešić, D Lagnado, T Roger, M Rau, X Zhu, W Kalish Cognitive Science Society, 2018 | 9 | 2018 |
Argument and explanation U Hahn, M Tešić Philosophical Transactions of the Royal Society A 381 (2251), 20220043, 2023 | 7 | 2023 |
Confirmation and the generalized Nagel–Schaffner model of reduction: a Bayesian analysis M Tešić Synthese 196 (3), 1097-1129, 2019 | 5 | 2019 |
Sequential diagnostic reasoning with independent causes M Tesic, U Hahn Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 3 | 2019 |
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment MG Mecattaf, B Slater, M Tešić, J Prunty, K Voudouris, LG Cheke arXiv preprint arXiv:2410.23242, 2024 | 2 | 2024 |
The impact of explanations as communicative acts on belief in a claim: The role of source reliability M Tešić, U Hahn Cognition 240, 105586, 2023 | 2 | 2023 |
Explanation in AI systems M Tesic, U Hahn Human-Like Machine Intelligence, 2022 | 2 | 2022 |
Explanation and argument M Tesic Birkbeck, University of London, 2020 | 2 | 2020 |
Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers L Pacchiardi, M Tesic, LG Cheke, J Hernández-Orallo arXiv preprint arXiv:2410.11672, 2024 | 1 | 2024 |
Explanation in Al systems M Tesic, U Hahn Human-Like Machine Intelligence (2021) 114, 2021 | 1 | 2021 |
Explanation in AI systems M Tešic, U Hahn Human-like machine intelligence. Clarendon Press. Oxford, UK, 0 | 1 | |
Explaining away and the propensity interpretation of probability: The case of unequal priors A LIEFGREEN, M TEŠIĆ European Conference of Argumentation Proceedings, 0 | 1 | |
Give us a hand, mate! A holistic review of research on human-machine teaming J Patel, M Boardman, B Files, F Gregory, S Lamb, S Sarkadi, M Tešić, ... BMJ Mil Health, 2024 | | 2024 |
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence R Trivedi, A Khan, J Clifton, L Hammond, EA Duéñez-Guzmán, ... The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | | 2024 |
Testing the Maximum Entropy Approach to Awareness Growth in Bayesian Epistemology and Decision Theory R Fuchs, M Tesic, U Hahn Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |