00880nam0 2200265 450 991067539870332120230327140804.020230327d2022----km y0itay50 baengNLa ac 001yy<<The >>architecture of empire in modern Europespace, place, and the construction of an imperial environment, 1860-1960Miel GrotenAmsterdamAmsterdam University Press2022339 p.ill.25 cmLandscape and Heritage ResearchImperialismo e architetturaArchitetturaEdifici pubbliciGroten,Miel1265099ITUNINAREICATUNIMARCBK9910675398703321ARCH B 415295/2023FARBCFARBCArchitecture of empire in modern Europe3062267UNINA04421nam 22007095 450 991029967240332120200703221214.03-319-26447-810.1007/978-3-319-26447-9(CKB)3710000000571653(EBL)4205822(SSID)ssj0001597436(PQKBManifestationID)16297261(PQKBTitleCode)TC0001597436(PQKBWorkID)14886438(PQKB)11279568(DE-He213)978-3-319-26447-9(MiAaPQ)EBC4205822(PPN)190886617(EXLCZ)99371000000057165320151222d2015 u| 0engur|n|---|||||txtccrSelf-Repair Networks A Mechanism Design /by Yoshiteru Ishida1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (172 p.)Intelligent Systems Reference Library,1868-4394 ;101Description based upon print version of record.3-319-26445-1 Includes bibliographical references at the end of each chapters and index.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? .Intelligent Systems Reference Library,1868-4394 ;101Computational intelligenceArtificial intelligenceEconomicsComputational complexityComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Economic Theory/Quantitative Economics/Mathematical Methodshttps://scigraph.springernature.com/ontologies/product-market-codes/W29000Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/T11022Computational intelligence.Artificial intelligence.Economics.Computational complexity.Computational Intelligence.Artificial Intelligence.Economic Theory/Quantitative Economics/Mathematical Methods.Complexity.003.7Ishida Yoshiteruauthttp://id.loc.gov/vocabulary/relators/aut1063293MiAaPQMiAaPQMiAaPQBOOK9910299672403321Self-Repair Networks2531492UNINA