Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Towards Automation : A Neurocognitive Model for Environment Recognition, Decision-Making, and Action Execution | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2011 Article ID 707410 11 pages doi 2011 707410 Research Article Towards Automation A Neurocognitive Model for Environment Recognition Decision-Making and Action Execution Rosemarie Velik 1 Gerhard Zucker 2 and Dietmar Dietrich3 department of Biorobotics and Neuro-Engineering Tecnalia Research and Innovation Paseo Mikeletegi 7 20009 San Sebastian Spain 2Energy Department Austrian Institute of Technology Giefinggafie 2 Vienna 1210 Austria 3 Institute of Computer Technology Vienna University of Technology Gusshausstrafie 27-29 E384 Vienna 1040 Austria Correspondence should be addressed to Gerhard Zucker Received 30 June 2010 Accepted 2 November 2010 Academic Editor Friederich Kupzog Copyright 2011 Rosemarie Velik et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The ongoing penetration of building automation by information technology is by far not saturated. Today s systems need not only be reliable and fault tolerant they also have to regard energy efficiency and flexibility in the overall consumption. Meeting the quality and comfort goals in building automation while at the same time optimizing towards energy carbon footprint and cost-efficiency requires systems that are able to handle large amounts of information and negotiate system behaviour that resolves conflicting demands a decision-making process. In the last years research has started to focus on bionic principles for designing new concepts in this area. The information processing principles of the human mind have turned out to be of particular interest as the mind is capable of processing huge amounts of sensory data and taking adequate decisions for re- actions based on these analysed data. In this paper we discuss how a bionic .
