期刊名称：Brain. Broad Research in Artificial Intelligence and Neuroscience
印刷版ISSN：2067-3957
出版年度：2013
卷号：4
期号：1-4
页码：26-54
语种：English
出版社：EduSoft publishing
摘要：Over the last decades, automation technology has made serious progress and can today automate a wide range of tasks having before needed human physical and mental abilities. Nevertheless, a number of important problem domains remain that cannot yet be handled by our current machines and computers. A few prominent examples are applications involving “realworld” perception, situation assessment, and decision-making tasks. Recently, researchers have suggested to use concepts of “Brain-Like Artificial Intelligence”, i.e. concepts inspired by the functioning principles of the human or animal brain, to further advance in these problem domains. This article discusses the potential of Brain-Like Artificial Intelligence for innovative automation solutions and reviews a number of approaches developed together with the ICT cognitive automation group of the Vienna University of Technology targeting the topics “real-world” perception, situation assessment, and decision-making for applications in building automation environments and autonomous agents. Additionally, it is demonstrated by a concrete example how such developments can also contribute to an advancement of the state of the art in the field of brain sciences.
