Modifiche per il documento SODA

Dalla versione 1.1
modificato da Ambra Molesini
il 08/10/2020 00:49
Cambia il commento: Imported from XAR
Alla versione 12.1
modificato da Andrea Omicini
il 14/11/2021 20:35
Cambia il commento: Nessun commento per questa versione

Summary

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3 -1 Focus
4 -#soda() (Societies in Open and Distributed Agent spaces) is a methodology for the analysis and design of complex agent-based systems. #soda() is not concerned with ~~intra-agent issues~~: designing a multi-agent system with #soda() leads to defining agents in terms of their required observable behaviour and their role in the multi-agent system.
5 -Instead, #soda() concentrated on ~~inter-agent~~ issues, like the engineering of societies and infrastructures for multi-agent systems.
6 -Recently a new and extended version of the methodology has been proposed, which takes into account both the Agents and Artifacts (#aea()) meta-model, and a mechanism to manage the complexity of system description.
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10 -1.1 News
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12 -* October 2012: A revised version of the complete documentation is available in the [Documents|Documents] area.
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14 -* May 2012: The complete documentation is available in the [Documents|Documents] area.
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16 -* June 2010: The first draft of the #soda() documentation is available in the [Documents|Documents] area.
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3 +* {{soda/}} is not concerned with //intra-agent issues//: designing a multi-agent system with {{soda/}} leads to defining agents in terms of their required observable behaviour and their role in the multi-agent system
4 +* instead, {{soda/}} focuses on //inter-agent// and //agent-environment// issues, like the engineering of societies and infrastructures for multi-agent systems
5 +* an extended version of the methodology has been proposed, which takes into account both the Agents and Artifacts (A&A) meta-model, and a mechanism to manage the complexity of system description.
6 +{{include reference="Environment"/}}
soda-logo.png
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Riferimenti

Enrico Denti email  |  Ambra Molesini email  |  Andrea Omicini email

A&A  |  TuCSoN  |  MEnSA