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Self-repair networks = a mechanism d...

Ishida, Yoshiteru.

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Self-repair networks = a mechanism design /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Self-repair networks/ by Yoshiteru Ishida.
其他題名:	a mechanism design /
作者:	Ishida, Yoshiteru.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xxii, 157 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Self-organizing systems. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-26447-9
ISBN:	9783319264479$q(electronic bk.)

Self-repair networks = a mechanism design /
Ishida, Yoshiteru.

Self-repair networksa mechanism design /[electronic resource] :by Yoshiteru Ishida. - Cham :Springer International Publishing :2015. - xxii, 157 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1011868-4394 ;. - Intelligent systems reference library ;v.24..

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.

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?

ISBN: 9783319264479$q(electronic bk.)

Standard No.: 10.1007/978-3-319-26447-9doiSubjects--Topical Terms:

556938
Self-organizing systems.

LC Class. No.: Q325

Dewey Class. No.: 003.7

Self-repair networks = a mechanism design /
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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?
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