Disagree and Commit: Degrees of Argumentation-based Agreements

December 31, 2024 Β· Declared Dead Β· πŸ› Autonomous Agents and Multi-Agent Systems

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Authors Timotheus Kampik, Juan Carlos Nieves arXiv ID 2501.01992 Category cs.AI: Artificial Intelligence Cross-listed cs.LO, cs.MA Citations 1 Venue Autonomous Agents and Multi-Agent Systems Last Checked 4 months ago
Abstract
In cooperative human decision-making, agreements are often not total; a partial degree of agreement is sufficient to commit to a decision and move on, as long as one is somewhat confident that the involved parties are likely to stand by their commitment in the future, given no drastic unexpected changes. In this paper, we introduce the notion of agreement scenarios that allow artificial autonomous agents to reach such agreements, using formal models of argumentation, in particular abstract argumentation and value-based argumentation. We introduce the notions of degrees of satisfaction and (minimum, mean, and median) agreement, as well as a measure of the impact a value in a value-based argumentation framework has on these notions. We then analyze how degrees of agreement are affected when agreement scenarios are expanded with new information, to shed light on the reliability of partial agreements in dynamic scenarios. An implementation of the introduced concepts is provided as part of an argumentation-based reasoning software library.
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