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首页> 外文期刊>Journal of Experimental and Theoretical Artificial Intelligence >Conversational strategies in COBBER: an affective CCBR framework
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Conversational strategies in COBBER: an affective CCBR framework

机译:COBBER中的会话策略:情感CCBR框架

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摘要

In this article we describe a domain-independent model to manage the conversation strategies between users and computers. We apply the model in COBBER, a Conversational case-based reasoning (CCBR) framework based on reusable ontologies. The overall goal of the model is to support users following an affective approach in order to keep them in the adequate mood to interact with the computer. We describe the main tasks of the framework and the methodology to instantiate the conversation strategies for a specific domain. We design the dynamic behavior of conversation strategies with causal loops from system dynamics theory. We adapt this theoretical framework to work with the CCBR approach.
机译:在本文中,我们描述了一个域无关的模型来管理用户和计算机之间的对话策略。我们将模型应用于基于可重用本体的基于会话案例的推理(CCBR)框架COBBER。该模型的总体目标是支持用户采用情感方法,以使他们保持与计算机交互的足够情绪。我们描述了框架的主要任务以及为特定领域实例化对话策略的方法。我们根据系统动力学理论设计了具有因果循环的对话策略的动态行为。我们将这个理论框架调整为与CCBR方法一起使用。

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