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| Using emotions for the development of human-agent societies |
| J. A. Rincon, J. Bajo, A. Fernandez, V. Julian, C. Carrascosa |
| Department of Computer Systems and Computation, Universitat Politecnica de Valencia, Valencia 46022, Spain; Departamento de Inteligencia Artificial, Universidad Politecnica de Madrid, Madrid 28040, Spain; Centre for Intelligent Information Technologies, Universidad Rey Juan Carlos, Madrid 28032, Spain |
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Abstract Human-agent societies refer to applications where virtual agents and humans coexist and interact transparently into a fully integrated environment. One of the most important aspects in this kind of applications is including emotional states of the agents (humans or not) in the decision-making process. In this sense, this paper presents the applicability of the JaCalIVE (Jason Cartago implemented intelligent virtual environment) framework for developing this kind of society. Specifically, the paper presents an ambient intelligence application where humans are immersed into a system that extracts and analyzes the emotional state of a human group. A social emotional model is employed to try to maximize the welfare of those humans by playing the most appropriate music in every moment.
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Received: 18 October 2015
Published: 05 April 2016
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人机交互社会构建中情感的应用
目的：基于JaCalIVE框架开发对人类情感状态在人机交互中的应用，旨在构建一个人机更为融洽的社会环境。
创新点：将人作为一种智能体构建多智能群体社会环境，以人的情感状态为要素开发了一种环境智能应用。
方法：首先分别介绍了社会情绪模型和JaCalIVE智能虚拟环境框架。继而提出了问题模型：通过音乐的变化提升群体的情绪状态。基于JaCalIVE开发了一种环境智能应用用以分析酒吧情景下的群体情感状态，进而自动选择播放合适的音乐来最大化地改善群体情感状态。最后，通过仿真实验验证了所构建系统的有效性。
结论：本文所提出的环境智能系统能够以非侵入的方式提取并分析群体的社会情感，据此可以有效选择情景音乐。
关键词：
多智能体系统,
虚拟环境,
情感智能体
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