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Marko Tesic
Marko Tesic
Research Associate, University of Cambridge
Dirección de correo verificada de cam.ac.uk - Página principal
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Widening access to Bayesian problem solving
N Cruz, SC Desai, S Dewitt, U Hahn, D Lagnado, A Liefgreen, K Phillips, ...
Frontiers in psychology 11, 521775, 2020
142020
Explaining away: significance of priors, diagnostic reasoning and structural complexity.
A Liefgreen, M Tesic, DA Lagnado
CogSci, 2018
142018
Confirmation by explanation: A Bayesian justification of IBE
M Tesic, B Eva, S Hartmann
102017
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
The propensity interpretation of probability and diagnostic split in explaining away
M Tešić, A Liefgreen, D Lagnado
Cognitive psychology 121, 101293, 2020
82020
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
62022
Argument and explanation
U Hahn, M Tešić
Philosophical Transactions of the Royal Society A 381 (2251), 20220043, 2023
32023
Confirmation and the generalized Nagel–Schaffner model of reduction: a Bayesian analysis
M Tešić
Synthese 196 (3), 1097-1129, 2019
32019
Sequential diagnostic reasoning with independent causes
M Tešic, U Hahn
Proceedings of the 41th annual conference of the cognitive science society …, 2019
22019
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
12023
Explanation in Al systems
M Tesic, U Hahn
Human-Like Machine Intelligence (2021) 114, 2021
12021
Explanation and argument
M Tesic
Birkbeck, University of London, 2020
12020
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
Causal Structure and Argumentative Value
U Hahn, B Trpin, S Hartmann, M Tesic, A Keshmirian, C Strößner
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
2023
Human-Generated Explanations of Inferences in Bayesian Networks: A Case Study.
M Tesic, U Hahn
CogSci, 2020
2020
Confirmation and the Generalized Nagel-Schaffner Model of Reduction
M Tešic
2017
On the transferability of insights from the psychology of explanation to explainable AI
M Tešic
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Artículos 1–18