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Transitive Observation-Based Causation, Saliency, and the Markov Condition.

, , и . SUM, том 5291 из Lecture Notes in Computer Science, стр. 78-91. Springer, (2008)

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Jean-François Stumper

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Transitive Observation-Based Causation, Saliency, and the Markov Condition., , и . SUM, том 5291 из Lecture Notes in Computer Science, стр. 78-91. Springer, (2008)Getting the Point of Conditionals: An Argumentative Approach to the Psychological Interpretation of Conditional Premises., и . WCII, том 3301 из Lecture Notes in Computer Science, стр. 59-64. Springer, (2002)Comparing Sets of Positive and Negative Arguments: Empirical Assessment of Seven Qualitative Rules., и . ECAI, том 141 из Frontiers in Artificial Intelligence and Applications, стр. 16-20. IOS Press, (2006)Background Default Knowledge and Causality Ascriptions., , , и . ECAI, том 141 из Frontiers in Artificial Intelligence and Applications, стр. 11-15. IOS Press, (2006)Behavioural evidence for a transparency-efficiency tradeoff in human-machine cooperation., , , , , и . Nat. Mach. Intell., 1 (11): 517-521 (2019)Predicting causality ascriptions from background knowledge: model and experimental validation., , , и . Int. J. Approx. Reason., 48 (3): 752-765 (2008)The Trolley, the Bull Bar, and Why Engineers Should Care About the Ethics of Autonomous Cars., , и . Proc. IEEE, 107 (3): 502-504 (2019)Crowdsourcing moral machines., , , , и . Commun. ACM, 63 (3): 48-55 (2020)The impact of generative artificial intelligence on socioeconomic inequalities and policy making., , , , , , , , , и 21 other автор(ы). CoRR, (2024)The Logical Handling of Threats, Rewards, Tips, and Warnings., , и . ECSQARU, том 4724 из Lecture Notes in Computer Science, стр. 235-246. Springer, (2007)