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

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dc.contributor.authorKalayci, TE
dc.contributor.authorBahrepour, M
dc.contributor.authorMeratnia, N
dc.contributor.authorHavinga, PJM
dc.date.accessioned2024-07-18T11:51:21Z
dc.date.available2024-07-18T11:51:21Z
dc.description.abstractAdvances 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).
dc.identifier.issn1743-8225
dc.identifier.other1743-8233
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/4770
dc.language.isoEnglish
dc.publisherINDERSCIENCE ENTERPRISES LTD
dc.subjectPOSITION CONTROL
dc.subjectSPEED CONTROL
dc.subjectPREDICTION
dc.subjectALGORITHM
dc.subjectINTELLIGENCE
dc.subjectCONTROLLERS
dc.subjectDESIGN
dc.subjectDRIVEN
dc.subjectTIME
dc.titleCan wireless sensor networks be emotional? A survey of computational models of emotions and their applications for wireless sensor networks
dc.typeArticle

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