Cognitive Computing for Intelligence Systems

Abstract

Cognitive Computing breaks the boundary between two separate fields, neuroscience and computer science. It paves the way for machines to have reasoning abilities which is analogous to human. The research field of cognitive computing is interdisciplinary, and uses knowledge and methods from many areas such as psychology, biology, signal processing, physics, information theory, mathematics, and statistics. The development of cognitive computing will keep crossfertilizing these research areas. However, in multimedia applications there still remain many open problems for cognitive computing. Technologies like cloud computing and big data are essential to upgrade the web systems with near human intelligence by using new capabilities such as machine learning, cognitive sensing, data mining, pattern recognition and natural language processing.The objective of this special section is to provide a platform for researchers to share their thoughts and findings on various issues involved in artificial intelligence and networks. Authors of papers presented at the EAI International Conference on Robotic Sensor Networks (ROSENET -http://rosenets.org/) were invited to submit their substantially expanded papers. ROSENET conference had received over 30 papers from over 5 countries in the world. After a careful review process the 7 papers presented in this special section were selected based on their originality, significance, technical soundness and clarity of exposition.Virtual Reality (VR) sickness presents an important challenge in VR environments. The authors of "Virtual reality sickness and challenges behind different technology and content settings" [1] present the results of a study on of the effects of VR technology and VR video content type on VR sickness