Iterative software engineering for multiagent systems : the MASSIVE method

The agent metaphor and the agent-based approach to systems design constitute a promising new paradigm for building complex distributed systems. However, until now, the majority of the agent-based applications available have been built by researchers who specialize in agent-based computing and distri...

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Xehetasun bibliografikoak
Egile nagusia: Lind, Jürgen, 1968-
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Saila:Lecture notes in computer science. Lecture notes in artificial intelligence 1994
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Edition sous un autre format:• Iterative software engineering for multiagent systems, the MASSIVE method, Jürgen Lind, 2001, Berlin, Springer, 1 volume (XIV-286 pages), Lecture notes in computer science, 3-540-42166-1
• Iterative Software Engineering for Multiagent Systems, Texte imprimé, 9783662173336
Deskribapena
Gaia:The agent metaphor and the agent-based approach to systems design constitute a promising new paradigm for building complex distributed systems. However, until now, the majority of the agent-based applications available have been built by researchers who specialize in agent-based computing and distributed artificial intelligence. If agent-based computing is to become anything more than a niche technology practiced by the few, then the base of people who can successfully apply the approach needs to be broadened dramatically. A major step in this broadening endeavor is the development of methodologies for agent-oriented software engineering accessible to and attractive for professional software engineers in their daily work. Against this background, this book presents one of the first coherent attempts to develop such a methodology for a broad class of agent-based systems. The author provides a clear introduction to the key issues in the field of agent-oriented software engineering.
Alearen deskribapena:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540451624
ISSN:1611-3349
2945-9141
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017