人工情感

提出一种基于HMM的人工情感模型。

In this paper , we propose an artificial emotion model based on HMM.

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。

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 .

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。

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 .

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。

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 .

基于直觉模糊集合的人工情感认知推理

Artificial Emotion 's Cognizant Reasoning Based on Intuitionistic Fuzzy Sets

基于人工情感的拟人机器人控制体系结构

A Control Architecture Based on Artificial Emotion for Anthropomorphic Robot

一种具有人工情感的智能控制系统研究

A Study of an Intelligent Control System with Artificial Emotion

仿人头像机器人人工情感建模与实现的研究

Research on Modelling and Realization of Artificial Emotion for Humanoid Head Portrait Robot

一种人工情感及行为策略模型的有限自动机实现

Implementation of an Artificial Emotion Model and Behavior Strategies Based on Finite Automata

基于心理能量思想的人工情感模型

Artificial emotion model based on psychology energy idea

第四章对人工情感进行介绍，并对人工情感的研究情况进行综述。

Chapter 4 proposes the concepts and the current research situations of artificial emotions .

本文的研究内容是基于模糊逻辑和人工情感的智能控制策略。

This thesis focuses on the intelligent control strategies based on fuzzy logic and artificial emotions .

人工情感及其应用

Artificial emotion and its applications

借鉴心理学中情感的维量分析思想，论文提出人工情感模型。

Inspired from dimension idea from psychology , an artificial emotion model is presented in this paper .

表情识别正逐渐成为人工情感、人工心理、模式识别等领域的研究热点。

Facial expression recognition gradually becomes a hot topic among artificial emotion , artificial psychology and pattern recognition .

这些机器人必须要具有智能化、自动化和交互性等特点，而人工情感使之成为可能。

They need the robots have the characteristics of intelligence , autonomy and interaction . Artificial emotion makes it possibility .

其中人工情感的情感交互采用基于有限状态机理论建立分层式的扩展有限状态机情感交互模型。

Based on the theory of finite state machine ( FSM ), the hierarchical expanded finite state machine ( EFSM ) emotional interaction model was built .

由于机器人在越来越多的领域得到应用，人们需要机器人具有智能性，自主性和互动性的特点，要使人工情感的实现成为可能。

As robots used in more and more fields , people need robots have the characteristics of intelligence , autonomy and interaction . Artificial emotion makes it possible .

人工情感主要是情感计算方面的研究，人工心理包括人工情感、人工意识以及认知与情绪的人工数字化技术。

The research of artificial emotion is primarily involved in effective computing ; artificial psychology includes artificial emotion , artificial consciousness and the artificial digital technology of cognition and emotion .

本课题以仿人头像机器人相关技术为手段，构建仿人头像机器人软硬件研究平台，通过理论、仿真和实验对仿人头像机器人人工情感建模与实现进行深入研究。

In the present study , the software and hardware platform of humanoid head portrait robot were developed with some related techniques of personal robots . The modelling and realization of artificial emotion for humanoid head portrait robot was deeply researched through theory , simulation and experiment .

基于人工智能的情感模型建立

An Emotion Model Based on Artificial Intelligence

人工智能的情感计算已经涉及到三种情感技能&感知情绪，识别情绪，表达情绪的能力。

Affective computing in artificial intelligence covers three kinds of emotion skills - emotion perception , emotion judgment , the ability for expressing emotions .

不断完善的认知心理学、认知神经学和情绪认知评价理论有力的支持了人工智能领域情感机器人的研究工作。

Continuous improvement of cognitive psychology , cognitive neuroscience and emotional cognitive evaluation theory help the emotional robot research in the field of artificial intelligence .

本文以人工心理和情感计算理论为导向，进一步探讨它们的相关技术如表情识别和情感建模问题，为和谐人机交互提供相关技术支持。

Based on the theory of affective computing and artificial psychology , this paper discusses in detail facial expression recognition and affective modeling and affords technique supports for harmonious human computer interactions .

在科技飞速发展的今天，面部表情识别作为一个非常有挑战性的交叉课题，涉及图像处理、模式识别、人工智能和情感计算等众多学科的知识和理论。

Nowadays modern science and technology are rapidly developing , as a very challenging cross-subject , facial expression recognition involves image processing , pattern recognition , artificial intelligence and affective computing , and many other disciplines of knowledge and theory .

基于人工情绪的智能情感网络教学系统研究

Study of Intelligent Affective Network Tutoring System Based on Artificial Emotion

基于人工心理理论的情感模型建立及其数值仿真

The Construction of Affective Model and Its Numerical Simulation Based on Artificial Psychology

在和谐人机交互与人工智能领域，情感计算作为一个新的研究方向，日益受到关注。

In the field of harmonious human-computer interaction and artifical intelligence , affective computing as a new research direction has attracted increasing attention .

本文首先阐述了模糊集合论与模糊逻辑、人工神经网络与学习控制的基础理论与研究成果，并在此基础上介绍了目前国际智能控制界崭新的研究方向&人工情感的研究现状。

This thesis first presents the fundamentals of fuzzy logic , neural networks and learning control , and then introduces the concepts and research achievements of artificial emotions .