From Fault Classification to Fault Tolerance for Multi-Agent Systems

Download or Read eBook From Fault Classification to Fault Tolerance for Multi-Agent Systems PDF written by Katia Potiron and published by Springer Science & Business Media. This book was released on 2013-03-21 with total page 84 pages. Available in PDF, EPUB and Kindle.
From Fault Classification to Fault Tolerance for Multi-Agent Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 84
Release :
ISBN-10 : 9781447150466
ISBN-13 : 1447150465
Rating : 4/5 (66 Downloads)

Book Synopsis From Fault Classification to Fault Tolerance for Multi-Agent Systems by : Katia Potiron

Book excerpt: 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.


From Fault Classification to Fault Tolerance for Multi-Agent Systems Related Books

From Fault Classification to Fault Tolerance for Multi-Agent Systems
Language: en
Pages: 84
Authors: Katia Potiron
Categories: Computers
Type: BOOK - Published: 2013-03-21 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

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 guarante
Fault Detection and Isolation
Language: en
Pages: 176
Authors: Nader Meskin
Categories: Technology & Engineering
Type: BOOK - Published: 2011-01-27 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

“Fault Detection and Isolation: Multi-Vehicle Unmanned System” deals with the design and development of fault detection and isolation algorithms for unmanne
Distributed Coordination of Multi-agent Networks
Language: en
Pages: 312
Authors: Wei Ren
Categories: Technology & Engineering
Type: BOOK - Published: 2010-11-30 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking wi
Agent and Multi-Agent Systems: Technologies and Applications
Language: en
Pages: 676
Authors: Gordan Jezic
Categories: Computers
Type: BOOK - Published: 2012-06-16 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 6th KES International Conference on Agent and Multi-Agent Systems, KES-AMSTA 2012, held in Dubrovnik, Croa
Multi-Agent Systems
Language: en
Pages: 237
Authors: Xiang-Gui Guo
Categories: Technology & Engineering
Type: BOOK - Published: 2019-06-25 - Publisher: CRC Press

DOWNLOAD EBOOK

Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus aims to present recent research results in designing platoon control and non-fragile qu