A MAS metamodel-driven approach to process fragments selection

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

Risultato della ricerca: Chapter

2 Citazioni (Scopus)

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 originaleEnglish
Titolo della pubblicazione ospiteLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pagine243-256
Numero di pagine14
Volume5386
Stato di pubblicazionePublished - 2009

Serie di pubblicazioni

NomeLECTURE NOTES IN COMPUTER SCIENCE

Fingerprint

Metamodel
Design Process
Fragment
Chemical elements
Paradigm
Engineering

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cita questo

Gaglio, S., Seidita, V., Cossentino, M., Hilaire, V., Gaglio, S., Cossentino, ... Galland, S. (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) (Vol. 5386, pagg. 243-256). (LECTURE NOTES IN COMPUTER SCIENCE).

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5386 2009. pag. 243-256 (LECTURE NOTES IN COMPUTER SCIENCE).

Risultato della ricerca: Chapter

Gaglio, S, Seidita, V, Cossentino, M, Hilaire, V, Gaglio, S, Cossentino, Koukam, A, Gaud, N & Galland, S 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). vol. 5386, LECTURE NOTES IN COMPUTER SCIENCE, pagg. 243-256.
Gaglio S, Seidita V, Cossentino M, Hilaire V, Gaglio S, Cossentino e altri. 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). Vol. 5386. 2009. pag. 243-256. (LECTURE NOTES IN COMPUTER SCIENCE).
Gaglio, Salvatore ; Seidita, Valeria ; Cossentino, Massimo ; Hilaire, Vincent ; Gaglio, Salvatore ; Cossentino ; Koukam, Abder ; Gaud, Nicolas ; Galland, Stephane. / 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). Vol. 5386 2009. pagg. 243-256 (LECTURE NOTES IN COMPUTER SCIENCE).
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