Handbook Of Research On Synthesizing Human Emotion In Intelligent Systems And Robotics
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Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics
Emotions convey significant information through means of natural language analysis, embodiment, and emotional signing. Machines equipped with the ability to experience and interpret emotions perform better in complex environments and share in the emotionally-rich social context. The Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics presents a solid framework for taking human-robot interaction closer to its full potential. Presenting a close look at all the factors involved in modeling emotions and applying a thorough understanding of human emotional recognition to technology, this volume appeals to active researchers in the fields of artificial emotions, artificial intelligence, computing, robotics, philosophy, and psychology, as well as to students interested in the research of synthetic emotions.
Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics
This book presents a solid framework for taking human-robot interaction closer to its full potential, presenting a close look at all the factors involved in modeling emotions and applying a thorough understanding of human emotional recognition to technology
Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
Author: Bhattacharyya, Siddhartha
language: en
Publisher: IGI Global
Release Date: 2015-11-03
Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent. The Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.