Self-Repair Networks A Mechanism Design /

This book describes the struggle to introduce a mechanism that enables next-generation information systems to maintain themselves. Our generation observed the birth and growth of information systems, and the Internet in particular. Surprisingly information systems are quite different from convention...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ishida, Yoshiteru (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Έκδοση:1st ed. 2015.
Σειρά:Intelligent Systems Reference Library, 101
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Ishida, Yoshiteru.  |e author. 
245 1 0 |a Self-Repair Networks  |h [electronic resource] :  |b A Mechanism Design /  |c by Yoshiteru Ishida. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XXII, 157 p. 50 illus., 12 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 101 
505 0 |a Introduction: Self-Action Models -- Incentives for Repair in Self-Repair Networks -- A Phase Transition in Self-Repair Networks: Problems and Definitions -- Controlling Repairing Strategy: A Spatial Game Approach -- Adaptive Capability in Space and Time -- Protection of Cooperative Clusters by Membrane -- Duality in Logics of Self-Repair -- Asymmetry between Repair and Infection in Self-Repair Networks -- Dynamics of Self-Repair Networks of Several Types -- Self-Repair Networks as an Epidemic Model -- Self-Repair Networks and the Self-Recognition Model -- Conclusion. 
520 |a This book describes the struggle to introduce a mechanism that enables next-generation information systems to maintain themselves. Our generation observed the birth and growth of information systems, and the Internet in particular. Surprisingly information systems are quite different from conventional (energy, material-intensive) artificial systems, and rather resemble biological systems (information-intensive systems). Many artificial systems are designed based on (Newtonian) physics assuming that every element obeys simple and static rules; however, the experience of the Internet suggests a different way of designing where growth cannot be controlled but self-organized with autonomous and selfish agents. This book suggests using game theory, a mechanism design in particular, for designing next-generation information systems which will be self-organized by collective acts with autonomous components. The challenge of mapping a probability to time appears repeatedly in many forms throughout this book. The book contains interdisciplinary research encompassing game theory, complex systems, reliability theory and particle physics. All devoted to its central theme: what happens if systems self-repair themselves? . 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 0 |a Complexity, Computational. 
650 0 |a Economic theory. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Economic Theory/Quantitative Economics/Mathematical Methods. 
650 2 4 |a Complexity. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319264455 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 101 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-26447-9  |z Full Text via HEAL-Link 
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950 |a Engineering (Springer-11647)