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008 150903s2008 xxk| o |||| 0|eng d
020 _a9781846289828
_99781846289828
024 7 _a10.1007/9781846289828
_2doi
035 _avtls000344107
039 9 _a201509030406
_bVLOAD
_c201405050302
_dVLOAD
_y201402061248
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ334-342
100 1 _aProkopenko, Mikhail.
_eeditor.
_9315903
245 1 0 _aAdvances in Applied Self-organizing Systems /
_cedited by Mikhail Prokopenko.
264 1 _aLondon :
_bSpringer London,
_c2008.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvanced Information and Knowledge Processing
500 _aSpringer eBooks
505 0 _aDesign vs. Self-organization -- Foundations and Formalizations of Self-organization -- Distributed Management and Control -- Self-Organizing Traffic Lights: A Realistic Simulation -- A Self-organizing Sensing System for Structural Health Monitoring of Aerospace Vehicles -- Decentralized Decision Making for Multiagent Systems -- Learning Mutation Strategies for Evolution and Adaptation of a Simulated Snakebot -- Self-Organization as Phase Transition in Decentralized Groups of Robots: A Study Based on Boltzmann Entropy -- Distributed Control of Microscopic Robots in Biomedical Applications -- Self-Organizing Computation -- Self-Organizing Digital Systems -- Self-organizing Nomadic Services in Grids -- Immune System Support for Scheduling -- Formal Immune Networks: Self-Organization and Real-World Applications -- A Model for Self-Organizing Data Visualization Using Decentralized Multiagent Systems -- Emergence of Traveling Localizations in Mutualistic-Excitation Media -- Discussion -- A Turing Test for Emergence.
520 _aThe main challenge faced by designers of self-organizing systems is how to validate and control non-deterministic dynamics. Over-engineering the system may completely suppress self-organization with an outside influence, eliminating emergent patterns and decreasing robustness, adaptability and scalability. Whilst leaving too much non-determinism in the system’s behaviour may make its verification and validation almost impossible. This book presents the state-of-the-practice in successfully engineered self-organizing systems, and examines ways to balance design and self organization in the context of applications. As demonstrated throughout, finding this balance helps to deal with diverse practical challenges. The book begins with the more established fields of traffic management and structural health monitoring, building up towards robotic teams, solving challenging tasks deployed in tough environments. The second half of the book follows with a deeper look into the micro-level, and considers local interactions between agents. These interactions lead towards self-modifying digital circuitry and self-managing grids, self-organizing data visualization and intrusion detection in computer networks, immunocomputing and nature-inspired computation, and eventually to artificial life. The case studies described illustrate the richness of the topic and provide guidance to its intricate areas. Many algorithms proposed and discussed in this volume are biologically inspired and readers will also gain an insight into cellular automata, genetic algorithms, artificial immune systems, snake-like locomotion, ant foraging, birds flocking and mutualistic biological ecosystems, amongst others. Demonstrating the practical relevance and applicability of self-organization, this book will be of interest to advanced students and researchers in a wide range of fields.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781846289811
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84628-982-8
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291660
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