温室 发表于 2025-3-28 17:21:08
0302-9743 Conditional, Default and Analogical Reasoning; Learning and Decision Making; Precise and Imprecise Probabilities; and Uncertain Reasoning for Applications..978-3-030-29764-0978-3-030-29765-7Series ISSN 0302-9743 Series E-ISSN 1611-3349落叶剂 发表于 2025-3-28 21:49:17
http://reply.papertrans.cn/89/8839/883849/883849_42.png人造 发表于 2025-3-29 00:06:18
http://reply.papertrans.cn/89/8839/883849/883849_43.png引起 发表于 2025-3-29 06:34:06
A New Generic Framework for Mediated Multilateral Argumentation-Based Negotiation Using Case-Based Rproposes a new generic framework for multilateral multi-issue Argumentation-Based Negotiation. Agents are first clustered based on their offers to reduce the negotiation complexity. These agents negotiate via a mediator who has two roles: (1) organize the dialogue between them and (2) step in when nAdenoma 发表于 2025-3-29 08:43:14
http://reply.papertrans.cn/89/8839/883849/883849_45.png过多 发表于 2025-3-29 12:04:31
http://reply.papertrans.cn/89/8839/883849/883849_46.pngdebase 发表于 2025-3-29 19:28:08
A Model-Based Theorem Prover for Epistemic Graphs for Argumentationlief in one argument may influence the belief in other arguments. These beliefs are represented by probability distributions and how they affect each other is represented by logical constraints on these distributions. Within the full language of epistemic constraints, we distinguish a restricted cla混杂人 发表于 2025-3-29 20:45:48
Discussion Games for Preferred Semantics of Abstract Dialectical Frameworksn in reasoning in ADFs has not been clarified well so far. The current work provides a discussion game as a proof method for preferred semantics of ADFs to cover this gap. We show that an argument is credulously acceptable (deniable) by an ADF under preferred semantics iff there exists a discussionFinasteride 发表于 2025-3-29 23:54:30
Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation states are represented by probability functions over possible worlds and can be adjusted to new beliefs using update operators. While the use of probability functions puts this approach on a solid foundational basis, it also causes computational challenges as the amount of data to process depends e声音刺耳 发表于 2025-3-30 07:15:33
http://reply.papertrans.cn/89/8839/883849/883849_50.png