Can wireless sensor networks be emotional? A survey of computational models of emotions and their applications for wireless sensor networks

被引：0
作者：
Kalayci T.E. [1 ]
Bahrepour M. [2 ]
Meratnia N. [2 ]
Havinga P.J.M. [2 ]
机构：
[1] Department of Computer Engineering, Celal Bayar University, Manisa
[2] Pervasive Systems Group, University of Twente, Enschede
来源：
Kalayci, Tahir Emre (tahir.kalayci@cbu.edu.tr) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 25期
关键词：
Artificial intelligence; BELBIC; Brain emotional learning based intelligent controller; Emotional learning; Emotions; Wireless sensor networks; WSNs;
D O I：
10.1504/IJAHUC.2017.083598
中图分类号：
学科分类号：
摘要：
Advances in psychology have revealed that emotions and rationality are interlinked and emotions are essential for rational behaviour and decision making. Therefore, integration of emotions with intelligent systems has become an important topic in engineering. The integration of emotions into intelligent systems requires computational models to generate emotions from external and internal sources. This paper first provides a survey of current computational models of emotion and their applications in engineering. Finally, it assesses potential of integrating emotions in wireless sensor networks (WSNs) by listing some use scenarios and by giving one model application. In this model application performance of a neural network for event detection has been improved using brain emotional learning based intelligent controller (BELBIC). Copyright © 2017 Inderscience Enterprises Ltd.
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页码：133 / 146
页数：13
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