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A Heuristic Strategy for Persuasion Dialogues

机译:一种劝说对话的启发式战略

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Argument-based persuasion dialogues provide an effective mechanism for agents to communicate their beliefs, and their reasons for those beliefs, in order to convince another agent of some topic argument. In such dialogues, the persuader has strategic considerations, and must decide which of its known arguments should be asserted, and the order in which they should be asserted. Recent works consider mechanisms for determining an optimal strategy for persuading the responder. However, computing such strategies is expensive, swiftly becoming impractical as the number of arguments increases. In response, we present a strategy that uses heuristic information of the domain arguments and can be computed with high numbers of arguments. Our results show that not only is the heuristic strategy fast to compute, it also performs significantly better than a random strategy.
机译:基于论点的劝说对话为代理商提供了一项有效的机制,以传达他们的信仰,以及他们对这些信仰的原因,以说服另一个主题论点的代理人。在这些对话中,说服者具有战略考虑,并必须决定应宣称哪些已知的论点以及应宣称的顺序。最近的作品考虑了确定解决响应者的最佳策略的机制。然而,计算这种策略是昂贵的,随着参数的数量增加而迅速变得不切实际。作为响应,我们介绍了一种使用域参数的启发式信息的策略,可以用高量的参数计算。我们的研究结果表明,不仅要计算的启发式策略,它也表现出明显优于随机策略。

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