Context model for multi-agent system reconfiguration

Krzysztof Stebel; Dariusz Choiński

doi:10.1007/978-3-540-85776-1_1

Context model for multi-agent system reconfiguration

Katedra Automatyki i Robotyki (RAU/RAU3)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

2 Cytowania z bazy Scopus

Abstrakt

This paper presents a reconfigurable multi-agent system (MAS) applied to distributed control system (DCS). Agents co-operate, evaluating the system on different levels of information abstraction. Context-based statistical remote expert agent or local supervisory agent are used to evaluate control agent performance. Using expert-selected period of good performance the reference distribution function is proposed. Periodically, for any monitoring period, a sample of observations is taken for local or remote system performance monitoring. Because evaluation may also be carried out remotely two cases should be considered. Remote expert observes changes of parameters that come from process performance degradation. Second case refers to communication problems when data transmission is corrupted and can not be used for system evaluation. Because of that application, context model is necessary to inform the remote expert about transmission quality. For evaluation of transmission channel, the idea of a context tree is utilised. Number of nodes and leaves taken into considerations depends on the expert's knowledge.

Język oryginału	angielski
Tytuł publikacji goszczącej	Artificial Intelligence
Podtytuł publikacji goszczącej	Methodology, Systems, and Applications - 13th International Conference, AIMSA 2008, Proceedings
Strony	1-11
Liczba stron	11
Identyfikatory DOI	https://doi.org/10.1007/978-3-540-85776-1_1
Status publikacji	Opublikowano - 2008
Wydarzenie	13th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2008 - Varna, Bułgaria Czas trwania: 4 wrz 2008 → 6 wrz 2008

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Tom	5253 LNAI
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Konferencja

Konferencja	13th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2008
Kraj/Terytorium	Bułgaria
Miejscowość	Varna
Okres	4/09/08 → 6/09/08

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-540-85776-1_1

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Stebel, K., & Choiński, D. (2008). Context model for multi-agent system reconfiguration. W Artificial Intelligence: Methodology, Systems, and Applications - 13th International Conference, AIMSA 2008, Proceedings (str. 1-11). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 5253 LNAI). https://doi.org/10.1007/978-3-540-85776-1_1

Stebel, Krzysztof ; Choiński, Dariusz. / Context model for multi-agent system reconfiguration. Artificial Intelligence: Methodology, Systems, and Applications - 13th International Conference, AIMSA 2008, Proceedings. 2008. str. 1-11 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6704fbf4a3c64dc2ad5e6b951f00c1e2,

title = "Context model for multi-agent system reconfiguration",

abstract = "This paper presents a reconfigurable multi-agent system (MAS) applied to distributed control system (DCS). Agents co-operate, evaluating the system on different levels of information abstraction. Context-based statistical remote expert agent or local supervisory agent are used to evaluate control agent performance. Using expert-selected period of good performance the reference distribution function is proposed. Periodically, for any monitoring period, a sample of observations is taken for local or remote system performance monitoring. Because evaluation may also be carried out remotely two cases should be considered. Remote expert observes changes of parameters that come from process performance degradation. Second case refers to communication problems when data transmission is corrupted and can not be used for system evaluation. Because of that application, context model is necessary to inform the remote expert about transmission quality. For evaluation of transmission channel, the idea of a context tree is utilised. Number of nodes and leaves taken into considerations depends on the expert's knowledge.",

keywords = "Context model, Kullback-Leibler divergence, Multi-agent system, System reconfiguration",

author = "Krzysztof Stebel and Dariusz Choi{\'n}ski",

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doi = "10.1007/978-3-540-85776-1\_1",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Stebel, K & Choiński, D 2008, Context model for multi-agent system reconfiguration. w Artificial Intelligence: Methodology, Systems, and Applications - 13th International Conference, AIMSA 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), tom 5253 LNAI, str. 1-11, 13th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2008, Varna, Bułgaria, 4/09/08. https://doi.org/10.1007/978-3-540-85776-1_1

Context model for multi-agent system reconfiguration. / Stebel, Krzysztof ; Choiński, Dariusz.
Artificial Intelligence: Methodology, Systems, and Applications - 13th International Conference, AIMSA 2008, Proceedings. 2008. str. 1-11 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 5253 LNAI).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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AB - This paper presents a reconfigurable multi-agent system (MAS) applied to distributed control system (DCS). Agents co-operate, evaluating the system on different levels of information abstraction. Context-based statistical remote expert agent or local supervisory agent are used to evaluate control agent performance. Using expert-selected period of good performance the reference distribution function is proposed. Periodically, for any monitoring period, a sample of observations is taken for local or remote system performance monitoring. Because evaluation may also be carried out remotely two cases should be considered. Remote expert observes changes of parameters that come from process performance degradation. Second case refers to communication problems when data transmission is corrupted and can not be used for system evaluation. Because of that application, context model is necessary to inform the remote expert about transmission quality. For evaluation of transmission channel, the idea of a context tree is utilised. Number of nodes and leaves taken into considerations depends on the expert's knowledge.

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KW - Kullback-Leibler divergence

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DO - 10.1007/978-3-540-85776-1_1

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Stebel K , Choiński D. Context model for multi-agent system reconfiguration. W Artificial Intelligence: Methodology, Systems, and Applications - 13th International Conference, AIMSA 2008, Proceedings. 2008. str. 1-11. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-85776-1_1

Context model for multi-agent system reconfiguration

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie