From Fault Classification to Fault Tolerance for Multi-Agent Systems

Nonfiction, Science & Nature, Technology, Quality Control, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book From Fault Classification to Fault Tolerance for Multi-Agent Systems by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert ISBN: 9781447150466
Publisher: Springer London Publication: March 21, 2013
Imprint: Springer Language: English
Author: Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
ISBN: 9781447150466
Publisher: Springer London
Publication: March 21, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer London

Cover of the book Optimal Control of Hybrid Vehicles by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Explorations in Art and Technology by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Mathematics for Computer Graphics by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Unified Signal Theory by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Decentralized Reasoning in Ambient Intelligence by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Disaster Medicine by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Explorations in Art and Technology by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book The Contribution of Technology to Added Value by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Design for Environment as a Tool for the Development of a Sustainable Supply Chain by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Mechatronics and Intelligent Systems for Off-road Vehicles by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Light-Based Therapies for Skin of Color by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Wind Energy Conversion Systems by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Asymptotic Chaos Expansions in Finance by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Energy Efficiency and Renewable Energy Through Nanotechnology by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
Cover of the book Diagnostic Imaging in Hemophilia by Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy