From Fault Classification to Fault Tolerance for Multi-Agent Systems

• Main Authors: Potiron, Katia. (Author), El Fallah Seghrouchni, Amal. (Author), Taillibert, Patrick. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London : Imprint: Springer, 2013.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Artificial intelligence.; System safety.; Computer Science.; Artificial Intelligence (incl. Robotics).; Quality Control, Reliability, Safety and Risk.; Control.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-5046-6

Faults are a concern for Multi-Agent Systems (MAS) designers, especially if the MAS are built for industrial or military use because there must be some guarantee of dependability. Some fault classification exists for classical systems, and is used to define faults. When dependability is at stake, su...

Table of Contents:

• Preface
• Introduction
• Multi-Agent System Properties
• Fault Classification
• Refinement of the Fault Classification for MAS
• Fault Tolerance for MAS Specific Faults
• Fault Classification Attributes as an Ontology to Build Fault Tolerant MAS
• Conclusion.