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English(EN) Towards a Foundational Ontology for Identifying and Resolving Contradictions in Dialogue-based Human-Robot Interactions

新本体旨在形式化人机对话中的矛盾

研究人员开发了一种基于活动理论的基础本体ATFOt,用于形式化表示和识别在人机交互中的矛盾。该本体旨在为理解基于对话的人机交互(HRI)和人机智能(HAI)中的错误、故障和冲突提供计算框架。该工作包括这些矛盾的自然语言定义、集合论定义和一阶逻辑公式,以及指导人机对话的原则。 AI

影响 为理解和解决人机通信中的错误提供了一个形式化框架。

排序理由 学术论文,详细介绍了一种新的人机交互本体。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新本体旨在形式化人机对话中的矛盾

本文如何被排名

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22 / 100
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Tool
学术论文,详细介绍了一种新的人机交互本体。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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paper, other
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High
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Maitreyee Tewari, Michele Persiani ·

    迈向用于识别和解决对话式人机交互中矛盾的基础本体

    arXiv:2609.02364v1 Announce Type: cross Abstract: Existing Human-Robot Interaction (HRI) literature has focused on identifying and structuring errors, failures, conflicts, and knowledge issues (called in this work as contradictions) in domain-specific dialogue-based interactions.…