Two-Agent Conflict Resolution with Assumption-Based Argumentation
Two-Agent Conflict Resolution with Assumption-Based Argumentation
复制标题
通过基于假设的论证解决两个代理的冲突
作者：
Xiuyi Fan;Francesca Toni;Adil Hussain
多智能体系统中存在冲突。代理人有不同的兴趣和愿望。代理人也持有不同的信念，并可能做出不同的假设。为了解决冲突，代理人需要更好地在彼此之间传达信息并促进公平谈判，以产生共同认可的结果。在本文中，我们提出了一种在基于假设的论证（ABA）下开发的双代理冲突解决方案。代理人代表他们对 ABA 的信念和愿望。通过合并相互冲突的论点来解决冲突。我们还讨论了公平的概念以及在解决冲突中辩论对话的使用。
Conflicts exist in multi-agent systems. Agents have different interests and desires. Agents also hold different beliefs and may make different assumptions. To resolve conflicts, agents need to better convey information between each other and facilitate fair negotiations that yield jointly agreeable outcomes. In this paper, we present a two-agent conflict resolution scheme developed under Assumption-Based Argumentation (ABA). Agents represent their beliefs and desires in ABA. Conflicts are resolved by merging conflicting arguments. We also discuss the notion of fairness and the use of argumentation dialogue in conflict resolution.