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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| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Springer London : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-84800-261-6 |
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Table of Contents:
- 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.