TY - BOOK ID - 5453173 TI - Advances in biologically inspired information systems : models, methods, and tools AU - Dressler, Falko AU - Carreras, Iacopo AU - BIONETICS 2006 PY - 2007 VL - 69 SN - 9783540726920 3540726926 9786610951543 1280951540 3540726934 PB - Berlin, Germany ; New York, New York : Springer, DB - UniCat KW - Computational intelligence KW - Self-organizing systems KW - Intelligence informatique KW - Systèmes auto-organisés KW - Congresses KW - Congrès KW - Computational intelligence -- Congresses. KW - Self-organizing systems -- Congresses. KW - Engineering & Applied Sciences KW - Civil & Environmental Engineering KW - Applied Mathematics KW - Computer Science KW - Civil Engineering KW - Engineering. KW - Artificial intelligence. KW - Bioinformatics. KW - Applied mathematics. KW - Engineering mathematics. KW - Appl.Mathematics/Computational Methods of Engineering. KW - Artificial Intelligence (incl. Robotics). KW - Engineering KW - Engineering analysis KW - Mathematical analysis KW - Bio-informatics KW - Biological informatics KW - Biology KW - Information science KW - Computational biology KW - Systems biology KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Construction KW - Industrial arts KW - Technology KW - Mathematics KW - Data processing KW - Mathematical and Computational Engineering. KW - Artificial Intelligence. UR - https://www.unicat.be/uniCat?func=search&query=sysid:5453173 AB - Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways and at multiple scales, from the global Internet down to micro and nano devices. Many of these devices are highly mobile and must adapt to the surrounding environment in a totally unsupervised way. A fundamental research challenge is the design of robust decentralized computing systems that are capable of operating under changing environments and noisy input, and yet exhibit the desired behavior and response time, under constraints such as energy consumption, size, and processing power. Biological systems are able to handle many of these challenges with an elegance and efficiency still far beyond current human artifacts. The goal is to obtain methods on how to engineer technical systems, which have similar high stability and efficiency. With this book, we present a comprehensive overview of the most promising research directions in the area of bio-inspired computing. According to the broad spectrum addressed by the different book chapters, a rich variety of biological principles and their application to ICT systems are presented. ER -