Progesterone
发表于 2025-3-26 23:25:52
978-3-030-30178-1Springer Nature Switzerland AG 2019
Agnosia
发表于 2025-3-27 03:17:29
KI 2019: Advances in Artificial Intelligence978-3-030-30179-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
Indecisive
发表于 2025-3-27 07:40:08
Towards Computational Persuasion via Natural Language Argumentation Dialogues,discuss evaluation of prototype systems that get the user’s counterarguments by allowing them to select them from a menu. Then we consider how this work might be enhanced by incorporating a natural language interface in the form of an argumentative chatbot.
被告
发表于 2025-3-27 09:44:06
Analogy-Based Preference Learning with Kernels,ch we develop a new method based on support vector machines trained with the analogy kernel. Our first experimental results for data sets from different domains (sports, education, tourism, etc.) are promising and suggest that our approach is competitive to state-of-the-art algorithms in terms of predictive accuracy.
construct
发表于 2025-3-27 15:05:34
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phlegm
发表于 2025-3-27 19:36:42
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minimal
发表于 2025-3-28 00:49:48
Monotone and Online Fair Division,a number of impossibility results that justify why we consider relaxations of the properties, as well as why we consider restricted preference domains on which good axiomatic properties can be achieved. We propose two mechanisms that have good axiomatic fairness properties on restricted but common preference domains.
喷油井
发表于 2025-3-28 05:42:00
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BLAND
发表于 2025-3-28 09:46:30
Extracting Reasons for Moral Judgments Under Various Ethical Principles,bility of actions, and uses the same logical formulae to come up with reasons for these judgments. We motivate the distinction between sufficient reasons, necessary reasons, and necessary parts of sufficient reasons yielding different types of explanations, and we provide algorithms to extract these reasons.
ASSET
发表于 2025-3-28 13:46:15
Conference proceedings 2019issions. . KI 2019 has a special focus theme on "AI methods for Argumentation" and especially invited contributions that use methods from all areas of AI to understand, formalize or generate argument structures in natural language..