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Emotional Intelligence: A Cybernetic Approach

机译:情商:控制论方法

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From time to time one finds a book that easily changes one's ideas about a field, or even better, it provides a catalyst to improve and enhance own ideas to an upper level. Professors Chakraborty and Konar wrote an academic text on emotional intelligence (described as "a new discipline of knowledge, dealing with modelling, recognition and control of human emotions", p. Ⅲ), but from a rich and comprehensive range of interests: philosophical, psychological, mathematical and computational. The book is organized in 10 chapters. The first one introduces the reader to the philosophical and psychological aspects of emotional intelligence. Second chapter provides an overview of the mathematical foundations required for the understanding of the rest of the book's contents. Chapter 3 analyzes Image Processing techniques, and the next chapter, four, delves into the existing brain imaging data that explain self-regulation of emotions. In Chapter 5 the authors make their first contribution using fuzzy logic to human emotion recognition from facial expressions. In the chapter the authors enter into a fascinating area: formalisms for emotional dynamics, using temporal logic. Followinghuman emotional reasoning, chapter 7 is devoted to the role of multiple emotions and chaos, comparing real brain data and their own model, and minimizing the error function by three algorithms (namely genetic algorithm, particle swarm optimization algorithm and differential evolution algorithm). Chapter 8 provides an overview of EEG signal processing for detection and prediction of emotions, providing a scheme for emotion clustering from bio-potential signals using neural networks. Chapter 9 proposes a method to use the previous schema for emotion modelling, detection and control in human-machine interactive systems and other emotional-inspired affective computing devices. Finally, chapter 10 is a very personal analysis of open-ended research problems in emotional Intelligence as well as a list of materials useful for a better understanding of this young discipline.
机译:人们不时发现一本书,可以轻松地改变自己对某个领域的想法,甚至更好,它为将自己的思想改进和提升到更高层次提供了催化剂。 Chakraborty和Konar教授撰写了有关情商的学术论文(被描述为“知识的新学科,涉及对人类情感的建模,识别和控制”,第Ⅲ页),但涉及的兴趣范围广泛而广泛:哲学,心理,数学和计算能力。这本书分为10章。第一个向读者介绍情商的哲学和心理方面。第二章概述了理解本书其余内容所需的数学基础。第3章分析了图像处理技术,下一章(第4章)研究了现有的大脑成像数据,这些数据解释了情绪的自我调节。在第5章中,作者首次使用模糊逻辑从面部表情识别人类情绪。在这一章中,作者进入了一个引人入胜的领域:使用时间逻辑的情绪动力学形式主义。遵循人类的情感推理,第7章致力于多种情感和混乱的作用,比较真实的大脑数据和他们自己的模型,并通过三种算法(即遗传算法,粒子群优化算法和差分进化算法)使误差函数最小化。第8章概述了用于情感检测和预测的EEG信号处理,并提供了使用神经网络从生物电位信号进行情感聚类的方案。第9章提出了一种使用以前的模式进行人机交互系统和其他受情感启发的情感计算设备中的情感建模,检测和控制的方法。最后,第10章是对情绪智力方面的开放性研究问题的非常个人化的分析,并提供了有助于更好地理解这一年轻学科的有用材料清单。

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