A representation for coordination fault detection in large-scale multi-agent systems
Abstract Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lindner, Michael [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media B.V. 2009 |
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| Übergeordnetes Werk: |
Enthalten in: Annals of mathematics and artificial intelligence - Springer Netherlands, 1990, 56(2009), 2 vom: Juni, Seite 153-186 |
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| Übergeordnetes Werk: |
volume:56 ; year:2009 ; number:2 ; month:06 ; pages:153-186 |
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| DOI / URN: |
10.1007/s10472-009-9165-2 |
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| 520 | |a Abstract Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent failures of sensors, communication failures, etc. Detection of such faults, based on observations of the behavior of agents, is of prime importance. Though different solutions have been presented thus far, none has presented a comprehensive and efficient resolution for large-scale teams. This paper presents a formal approach to representing multi-agent coordination, and multi-agent observations, using matrix structures. This representation facilitates easy representation of coordination requirements, modularity, flexibility and reuse of existing systems. Based on this representation, we present a novel solution for fault-detection that is both generic and efficient for large-scale teams. We demonstrate the modularity of the representation by presenting a reuse of existing systems and by importing other models (e.g. hierarchical systems) into the new representation. Finally, we extend the representation to support dynamical aspects of complex systems. | ||
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| 700 | 1 | |a Kaminka, Gal A. |4 aut | |
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10.1007/s10472-009-9165-2 doi (DE-627)OLC2041503793 (DE-He213)s10472-009-9165-2-p DE-627 ger DE-627 rakwb eng 510 004 VZ 17,1 ssgn Lindner, Michael verfasserin aut A representation for coordination fault detection in large-scale multi-agent systems 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent failures of sensors, communication failures, etc. Detection of such faults, based on observations of the behavior of agents, is of prime importance. Though different solutions have been presented thus far, none has presented a comprehensive and efficient resolution for large-scale teams. This paper presents a formal approach to representing multi-agent coordination, and multi-agent observations, using matrix structures. This representation facilitates easy representation of coordination requirements, modularity, flexibility and reuse of existing systems. Based on this representation, we present a novel solution for fault-detection that is both generic and efficient for large-scale teams. We demonstrate the modularity of the representation by presenting a reuse of existing systems and by importing other models (e.g. hierarchical systems) into the new representation. Finally, we extend the representation to support dynamical aspects of complex systems. Large-scale multi-agent systems Coordination fault detection Teamwork Kalech, Meir aut Kaminka, Gal A. aut Enthalten in Annals of mathematics and artificial intelligence Springer Netherlands, 1990 56(2009), 2 vom: Juni, Seite 153-186 (DE-627)130904104 (DE-600)1045926-1 (DE-576)02499622X 1012-2443 nnns volume:56 year:2009 number:2 month:06 pages:153-186 https://doi.org/10.1007/s10472-009-9165-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 56 2009 2 06 153-186 |
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10.1007/s10472-009-9165-2 doi (DE-627)OLC2041503793 (DE-He213)s10472-009-9165-2-p DE-627 ger DE-627 rakwb eng 510 004 VZ 17,1 ssgn Lindner, Michael verfasserin aut A representation for coordination fault detection in large-scale multi-agent systems 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent failures of sensors, communication failures, etc. Detection of such faults, based on observations of the behavior of agents, is of prime importance. Though different solutions have been presented thus far, none has presented a comprehensive and efficient resolution for large-scale teams. This paper presents a formal approach to representing multi-agent coordination, and multi-agent observations, using matrix structures. This representation facilitates easy representation of coordination requirements, modularity, flexibility and reuse of existing systems. Based on this representation, we present a novel solution for fault-detection that is both generic and efficient for large-scale teams. We demonstrate the modularity of the representation by presenting a reuse of existing systems and by importing other models (e.g. hierarchical systems) into the new representation. Finally, we extend the representation to support dynamical aspects of complex systems. Large-scale multi-agent systems Coordination fault detection Teamwork Kalech, Meir aut Kaminka, Gal A. aut Enthalten in Annals of mathematics and artificial intelligence Springer Netherlands, 1990 56(2009), 2 vom: Juni, Seite 153-186 (DE-627)130904104 (DE-600)1045926-1 (DE-576)02499622X 1012-2443 nnns volume:56 year:2009 number:2 month:06 pages:153-186 https://doi.org/10.1007/s10472-009-9165-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_40 GBV_ILN_70 AR 56 2009 2 06 153-186 |
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Abstract Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent failures of sensors, communication failures, etc. Detection of such faults, based on observations of the behavior of agents, is of prime importance. Though different solutions have been presented thus far, none has presented a comprehensive and efficient resolution for large-scale teams. This paper presents a formal approach to representing multi-agent coordination, and multi-agent observations, using matrix structures. This representation facilitates easy representation of coordination requirements, modularity, flexibility and reuse of existing systems. Based on this representation, we present a novel solution for fault-detection that is both generic and efficient for large-scale teams. We demonstrate the modularity of the representation by presenting a reuse of existing systems and by importing other models (e.g. hierarchical systems) into the new representation. Finally, we extend the representation to support dynamical aspects of complex systems. © Springer Science+Business Media B.V. 2009 |
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Abstract Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent failures of sensors, communication failures, etc. Detection of such faults, based on observations of the behavior of agents, is of prime importance. Though different solutions have been presented thus far, none has presented a comprehensive and efficient resolution for large-scale teams. This paper presents a formal approach to representing multi-agent coordination, and multi-agent observations, using matrix structures. This representation facilitates easy representation of coordination requirements, modularity, flexibility and reuse of existing systems. Based on this representation, we present a novel solution for fault-detection that is both generic and efficient for large-scale teams. We demonstrate the modularity of the representation by presenting a reuse of existing systems and by importing other models (e.g. hierarchical systems) into the new representation. Finally, we extend the representation to support dynamical aspects of complex systems. © Springer Science+Business Media B.V. 2009 |
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Abstract Teamwork requires that team members coordinate their actions. The representation of the coordination is a key requirement since it influences the complexity and flexibility of reasoning team-members. One aspect of this requirement is detecting coordination faults as a result of intermittent failures of sensors, communication failures, etc. Detection of such faults, based on observations of the behavior of agents, is of prime importance. Though different solutions have been presented thus far, none has presented a comprehensive and efficient resolution for large-scale teams. This paper presents a formal approach to representing multi-agent coordination, and multi-agent observations, using matrix structures. This representation facilitates easy representation of coordination requirements, modularity, flexibility and reuse of existing systems. Based on this representation, we present a novel solution for fault-detection that is both generic and efficient for large-scale teams. We demonstrate the modularity of the representation by presenting a reuse of existing systems and by importing other models (e.g. hierarchical systems) into the new representation. Finally, we extend the representation to support dynamical aspects of complex systems. © Springer Science+Business Media B.V. 2009 |
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A representation for coordination fault detection in large-scale multi-agent systems |
| url |
https://doi.org/10.1007/s10472-009-9165-2 |
| remote_bool |
false |
| author2 |
Kalech, Meir Kaminka, Gal A. |
| author2Str |
Kalech, Meir Kaminka, Gal A. |
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130904104 |
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n |
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false |
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| doi_str |
10.1007/s10472-009-9165-2 |
| up_date |
2024-07-04T04:53:56.166Z |
| _version_ |
1803622899942162432 |
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