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Can proactive behavior turn chatterbots into conversational agents?

机译:主动的行为能否将聊天机器人变成对话代理?

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Chatterbots are software systems interacting with their users by means of a natural language based conversation. Their knowledge base consists of a collection of rules, whose triggering depends on text patterns recognized within the user input. Even if they are an interesting and promising idea, recent statistics detected poor usage and a relatively short lifetime. This paper suggests an improvement of the chatterbot technology, based on the implementation of a more proactive dialogue behavior. A chatterbot enhanced with proactivity can be regarded as an intelligent conversational agent which is generally characterized by a more complex implementation approach but provides more efficient dialogue control through mixed-initiative strategies. By comparing chatterbots to finite state machines a formal definition of proactive chatterbots is reached and a standard implementation methodology is suggested. Finally, a case study discussing an example implementation of a virtual risk management advisor is provided.
机译:Chatterbots是通过基于自然语言的对话与用户进行交互的软件系统。他们的知识库包括一组规则,这些规则的触发取决于用户输入中识别的文本模式。即使它们是一个有趣且有前途的想法,最近的统计数据也发现使用率不高且使用寿命相对较短。本文基于对对话行为的更主动实施,提出了对chatterbot技术的改进。具有主动性的聊天机器人可以看作是智能的对话代理,通常以更复杂的实现方法为特征,但通过混合启动策略可提供更有效的对话控制。通过将聊天机器人与有限状态机进行比较,可以得出主动聊天机器人的正式定义,并提出了一种标准的实现方法。最后,提供了一个案例研究,讨论了虚拟风险管理顾问程序的示例实现。

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