A MAS metamodel-driven approach to process fragments selection

Salvatore Gaglio; Valeria Seidita; Abder Koukam; Nicolas Gaud; Stephane Galland; Vincent Hilaire; Salvatore Gaglio; null Cossentino; Massimo Cossentino

A MAS metamodel-driven approach to process fragments selection

Salvatore Gaglio, Valeria Seidita, Abder Koukam, Nicolas Gaud, Stephane Galland, Vincent Hilaire, Salvatore Gaglio, Cossentino, Massimo Cossentino

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Abstract

The construction of ad-hoc design processes is more and more required today. In this paper we present our approach for the construction of a new design process following the Situational Method Engineering paradigm. We mainly focus on the selection and assembly activities on the base of what we consider a key element in agent design processes: the MAS metamodel. The paper presents an algorithm establishing a priority order in the realization (instantiation) of MAS metamodel elements by the fragments that will compose the new process.

Lingua originale	English
Titolo della pubblicazione ospite	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pagine	243-256
Numero di pagine	14
Stato di pubblicazione	Published - 2009

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Nome	LECTURE NOTES IN COMPUTER SCIENCE

All Science Journal Classification (ASJC) codes

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???subjectarea.asjc.1700.1700???

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Gaglio, S., Seidita, V., Koukam, A., Gaud, N., Galland, S., Hilaire, V., Gaglio, S., Cossentino, & Cossentino, M. (2009). A MAS metamodel-driven approach to process fragments selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pagg. 243-256). (LECTURE NOTES IN COMPUTER SCIENCE).

A MAS metamodel-driven approach to process fragments selection. / Gaglio, Salvatore ; Seidita, Valeria; Koukam, Abder; Gaud, Nicolas; Galland, Stephane; Hilaire, Vincent; Gaglio, Salvatore; Cossentino; Cossentino, Massimo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2009. pag. 243-256 (LECTURE NOTES IN COMPUTER SCIENCE).

Risultato della ricerca: Chapter

Gaglio, Salvatore ; Seidita, Valeria ; Koukam, Abder ; Gaud, Nicolas ; Galland, Stephane ; Hilaire, Vincent ; Gaglio, Salvatore ; Cossentino ; Cossentino, Massimo. / A MAS metamodel-driven approach to process fragments selection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2009. pagg. 243-256 (LECTURE NOTES IN COMPUTER SCIENCE).

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A MAS metamodel-driven approach to process fragments selection

Abstract

Serie di pubblicazioni

All Science Journal Classification (ASJC) codes

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