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New ontology aims to resolve contradictions in human-robot dialogue

By PulseAugur Editorial · [2 sources] ·

Researchers are developing a foundational ontology, named ATFOt (Activity Theory-based foundational ontology), to formally represent and identify contradictions within dialogue-based human-robot interactions. This ontology, built using concepts from Activity Theory and METHONTOLOGY, aims to create a computational framework that can be applied across various human-robot and human-agent interaction domains. The preliminary results include natural language and set-theoretic definitions of dialogues and contradictions, along with a first-order logic formulation and new principles for guiding human-robot dialogue. AI

IMPACT This ontology could improve the robustness and understanding of interactions between humans and robots by formally addressing communication breakdowns.

RANK_REASON The cluster describes a research paper detailing the development of a new ontology for HRI.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New ontology aims to resolve contradictions in human-robot dialogue

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The cluster describes a research paper detailing the development of a new ontology for HRI.
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COVERAGE [2]

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

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

    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.…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

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

    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. However, there is still lack of a formal computat…

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