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Marko Tesic
Marko Tesic
Research Associate, University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
182020
Explaining away: significance of priors, diagnostic reasoning and structural complexity.
A Liefgreen, M Tesic, DA Lagnado
CogSci, 2018
152018
The propensity interpretation of probability and diagnostic split in explaining away
M Tešić, A Liefgreen, D Lagnado
Cognitive psychology 121, 101293, 2020
122020
Confirmation by explanation: A Bayesian justification of IBE
M Tesic, B Eva, S Hartmann
122017
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
92022
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
92018
Argument and explanation
U Hahn, M Tešić
Philosophical Transactions of the Royal Society A 381 (2251), 20220043, 2023
72023
Confirmation and the generalized Nagel–Schaffner model of reduction: a Bayesian analysis
M Tešić
Synthese 196 (3), 1097-1129, 2019
52019
Sequential diagnostic reasoning with independent causes
M Tesic, U Hahn
Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019
32019
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
22024
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
22023
Explanation in AI systems
M Tesic, U Hahn
Human-Like Machine Intelligence, 2022
22022
Explanation and argument
M Tesic
Birkbeck, University of London, 2020
22020
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
12024
Explanation in Al systems
M Tesic, U Hahn
Human-Like Machine Intelligence (2021) 114, 2021
12021
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
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