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008 | 150903s2008 xxk| o |||| 0|eng d | ||
020 |
_a9781846289828 _99781846289828 |
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024 | 7 |
_a10.1007/9781846289828 _2doi |
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035 | _avtls000344107 | ||
039 | 9 |
_a201509030406 _bVLOAD _c201405050302 _dVLOAD _y201402061248 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQ334-342 | |
100 | 1 |
_aProkopenko, Mikhail. _eeditor. _9315903 |
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245 | 1 | 0 |
_aAdvances in Applied Self-organizing Systems / _cedited by Mikhail Prokopenko. |
264 | 1 |
_aLondon : _bSpringer London, _c2008. |
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300 | _brecurso en línea. | ||
336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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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 |
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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) |
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