TY - BOOK ID - 8136687 TI - From fault classification to fault tolerance for multi-agent systems AU - Potiron, Katia. AU - El Fallah Seghrouchni, Amal. AU - Taillibert, Patrick. PY - 2013 SN - 1447150457 1447150465 PB - London ; New York : Springer, DB - UniCat KW - Artificial intelligence. KW - Fault-tolerant computing. KW - Multiagent systems. KW - System safety. KW - Mechanical Engineering KW - Engineering & Applied Sciences KW - Computer Science KW - Mechanical Engineering - General KW - Information Technology KW - Artificial Intelligence KW - Computing, Fault-tolerant KW - Agent-based model (Computer software) KW - MASs (Multiagent systems) KW - Multi-agent systems KW - Systems, Multiagent KW - Computer science. KW - Control engineering. KW - Quality control. KW - Reliability. KW - Industrial safety. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Quality Control, Reliability, Safety and Risk. KW - Control. KW - Electronic data processing KW - Electronic digital computers KW - Fault tolerance (Engineering) KW - Computer system failures KW - Intelligent agents (Computer software) KW - Reliability KW - Artificial Intelligence. KW - Control and Systems Theory. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Safety, System KW - Safety of systems KW - Systems safety KW - Accidents KW - Industrial safety KW - Systems engineering KW - Prevention KW - Control engineering KW - Control equipment KW - Control theory KW - Engineering instruments KW - Automation KW - Programmable controllers KW - Industrial accidents KW - Industries KW - Job safety KW - Occupational hazards, Prevention of KW - Occupational health and safety KW - Occupational safety and health KW - Prevention of industrial accidents KW - Prevention of occupational hazards KW - Safety, Industrial KW - Safety engineering KW - Safety measures KW - Safety of workers KW - System safety KW - Dependability KW - Trustworthiness KW - Conduct of life KW - Factory management KW - Industrial engineering KW - Reliability (Engineering) KW - Sampling (Statistics) KW - Standardization KW - Quality assurance KW - Quality of products UR - https://www.unicat.be/uniCat?func=search&query=sysid:8136687 AB - 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, such fault classification may be used from the beginning of the system’s conception to define fault classes and specify which types of faults are expected. Thus, one may want to use fault classification for MAS; however, From Fault Classification to Fault Tolerance for Multi-Agent Systems argues that working with autonomous and proactive agents implies a special analysis of the faults potentially occurring in the system. Moreover, the field of Fault Tolerance (FT) provides numerous methods adapted to handle different kinds of faults. Some handling methods have been studied within the MAS domain, adapting to their specificities and capabilities but increasing the large amount of FT methods. Therefore, unless being an expert in fault tolerance, it is difficult to choose, evaluate or compare fault tolerance methods, preventing a lot of developed applications from not only to being more pleasant to use but, more importantly, from at least being tolerant to common faults. From Fault Classification to Fault Tolerance for Multi-Agent Systems shows that specification phase guidelines and fault handler studies can be derived from the fault classification extension made for MAS. From this perspective, fault classification can become a unifying concept between fault tolerance methods in MAS. ER -