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008			130505s2013 xxk| s |||| 0|eng d
020			_a9781447151135 _9978-1-4471-5113-5
024	7		_a10.1007/978-1-4471-5113-5 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aAdvances in Applied Self-Organizing Systems _h[electronic resource] / _cedited by Mikhail Prokopenko.
250			_a2nd ed. 2013.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2013.
300			_aX, 426 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvanced Information and Knowledge Processing, _x1610-3947
505	0		_aPreface -- Part I – Introduction -- Design versus Self-Organization -- Foundations and Formalizations of Self-Organization -- Part II – Distributed Management and Control -- Self-Organizing Traffic Lights: A Realistic Simulation -- Self-Organizing Sensing of Structures: Monitoring a Space Vehicle Thermal Protection System -- Decentralized Decision Making for Ad-hoc Multi-Agent Systems -- Learning Mutation Strategies for Evaluation 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 -- Part III – Self-Organizing Computation -- Self-Organizing Computing Systems: Songline Processors -- 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 Multi-Agent Systems -- Memristive Excitable Automata: Structural Dynamics, Phenomenology, Localizations and Conductive Pathways -- Part IV – Discussion -- A Turing Test for Emergence -- Index.
520			_aHow do we design a self-organizing system? Is it possible to validate and control non-deterministic dynamics? What is the right balance between the emergent patterns that bring robustness, adaptability and scalability, and the traditional need for verification and validation of the outcomes? The last several decades have seen much progress from original ideas of “emergent functionality” and “design for emergence”, to sophisticated mathematical formalisms of “guided self-organization”. And yet the main challenge remains, attracting the best scientific and engineering expertise to this elusive problem. This book presents state-of-the-practice of successfully engineered self-organizing systems, and examines ways to balance design and self-organization in the context of applications. As demonstrated in this second edition of Advances in Applied Self-Organizing Systems, finding this balance helps to deal with practical challenges as diverse as navigation of microscopic robots within blood vessels, self-monitoring aerospace vehicles, collective and modular robotics adapted for autonomous reconnaissance and surveillance, self-managing grids and multiprocessor scheduling, data visualization and self-modifying digital and analog circuitry, intrusion detection in computer networks, reconstruction of hydro-physical fields, traffic management, immunocomputing and nature-inspired computation. Many algorithms proposed and discussed in this volume are biologically inspired, and the reader will also gain an insight into cellular automata, genetic algorithms, artificial immune systems, snake-like locomotion, ant foraging, birds flocking, neuromorphic circuits, amongst others. Demonstrating the practical relevance and applicability of self-organization, Advances in Applied Self-Organizing Systems will be an invaluable tool for advanced students and researchers in a wide range of fields.
650		0	_aComputer science.
650		0	_aComputer organization.
650		0	_aComputers.
650		0	_aArtificial intelligence.
650		0	_aComputer simulation.
650		0	_aPattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aPattern Recognition.
650	2	4	_aSimulation and Modeling.
650	2	4	_aTheory of Computation.
650	2	4	_aComputer Systems Organization and Communication Networks.
700	1		_aProkopenko, Mikhail. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781447151128
830		0	_aAdvanced Information and Knowledge Processing, _x1610-3947
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4471-5113-5
912			_aZDB-2-SCS
942			_2Dewey Decimal Classification _ceBooks
999			_c43745 _d43745