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020 _a9781447150466
_9978-1-4471-5046-6
024 7 _a10.1007/978-1-4471-5046-6
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aPotiron, Katia.
_eauthor.
245 1 0 _aFrom Fault Classification to Fault Tolerance for Multi-Agent Systems
_h[electronic resource] /
_cby Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aVIII, 80 p. 19 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
505 0 _aPreface -- 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.
520 _aFaults 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.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aControl engineering.
650 0 _aQuality control.
650 0 _aReliability.
650 0 _aIndustrial safety.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aQuality Control, Reliability, Safety and Risk.
650 2 4 _aControl.
700 1 _aEl Fallah Seghrouchni, Amal.
_eauthor.
700 1 _aTaillibert, Patrick.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447150459
830 0 _aSpringerBriefs in Computer Science,
_x2191-5768
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-5046-6
912 _aZDB-2-SCS
942 _cEBK
999 _c57576
_d57576