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Robust Intelligent Systems

Robustness is an intriguing phenomenon in many complex intelligent systems, natural and artificial alike. This book investigates the relevance of robustness in a modern intelligent computing context, where many systems take inspiration from fundamental problem-solving strategies found in nature such...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Schuster, Alfons (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Robustness in Computer Hardware, Software, Networks, and Protocols
  • Robustness in Digital Hardware
  • Multiagent-Based Fault Tolerance Management for Robustness
  • A Two-Level Robustness Model for Self-Managing Software Systems
  • Robustness in Network Protocols and Distributed Applications of the Internet
  • Robustness in Biology Inspired Systems
  • Detecting Danger: The Dendritic Cell Algorithm
  • Non-invasive Brain-Computer Interfaces for Semi-autonomous Assistive Devices
  • Robust Learning of High-dimensional Biological Networks with Bayesian Networks
  • Robustness in Artificial Intelligence Systems
  • Robustness in Nature as a Design Principle for Artificial Intelligence
  • Feedback Structures as a Key Requirement for Robustness: Case Studies in Image Processing
  • Exploiting Motor Modules in Modular Contexts in Humanoid Robotics
  • Robustness in Space Applications
  • Robustness as Key to Success for Space Missions
  • Robust and Automated Space System Design
  • Robust Bio-regenerative Life Support Systems Control.