人工情感及其应用

自然系统中,情感影响人的行为.目前,人工情感在拟人agent的研究得到了越来越多的重视.为此,本文从工程角度综述了人工情感研究的基本问题,简要介绍了几类情感模型,并着重讨论了基于人工情感的agent体系结构的典型应用.人工情感的研究不仅体现在情感辨识、情感表达等人机交互方面,同时情感的作用机理也影响到智能agent的控制体系结构和算法设计.基于人工情感的体系结构具有混合分层的特点,强调情感和其他过程的联系以增强agent在与动态环境交互中的自适应能力.在这个结构中人工情感的核心作用主要体现在两个方面:首先,人工情感是联系agent的内部状态和外部环境的基础,情感状态影响到agent信息处理的整个过程,包括紧急情况下的快速响应和规划任务时的复杂推理.其次,人工情感作为内部驱动机制对学习过程十分重要,人工情感作为强化刺激促使agent创建更复杂的行为功能.在设计中引入人工情感,对agent实现智能化和个性化至关重要.

Artificial emotion and its applications

The natural emotion plays a significant role in human behavior. Current research in AI shows an increasing interest in artificial emotion for developing the human-like agent. In this paper a survey of basic issues of artificial emotion from the engineering point of view is given, briefly introducing several emotion models with emphasis on typical implementations of artificial emotion-based agent architecture. Research on artificial emotion is reflected in the human-computer interaction (HCI) such as emotion identification and emotion expression, the action mechanism of emotion also influences the control architecture and algorithm design of the intelligent agent. The emotion-based architecture being hybrid-layered emphasizes the Unks between emotion and other processes to enhance adaptive capability of agents in a dynamic environment. In the architecture the central role of artificial emotion is incarnated mainly in two aspects: First, the artificial emotion is the basis of connecting internal status of an agent with its external situation, and emotion affects the whole process of information processing, including both the quick response in an emergency and the complicated reasoning for planning a task; Second, the artificial emotion as an endogenous teaching device plays a crucial role in the learning process, stimulating an agent to create more complex behavioral functions. Embedding artificial emotion in the architecture is essential for agents to be more intelligent and personalized.