SODA: Societies and Infrastructures in the Analysis and Design of Agent-Based Systems

By Andrea Omicini. 2000

304 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research

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Citations in the corpus

RODE: Learning Roles to Decompose Multi-Agent Tasks (2020, background): “…to reduce the design complexity by decomposing the task and specializing agents with the same role to certain sub-tasks (Wooldridge et al., 2000; Omicini, 2000; Padgham & Winikoff, 2002; Pav´on & G´omez-Sanz, 2003; Cossentino et al., 2005; Zhu & Zhou, 2008; Spanoudakis & Moraitis, 2010; DeLoach…”
Artifacts in the A&A meta-model for multi-agent systems (2008, methodology): “While early AOSE methodologies were mostly devoted to the engineering of individual agents, later developments put rather the focus on system issues like organisation [72], interaction [36], self-organisation [4], environment [68], and so on.”
An Introduction to MultiAgent Systems (2002, methodology): “• those that take their inspiration from object-oriented development, and either extend existing 00 methodologies or adapt 00 methodologies to the purposes of APSE (Burmeister. 1996: Kinny et al, 1996; Wooldridge et al, 1999; Odell et al, 2001; Depke et al, 2001; Bauer et al, 2001; Kendall, 2001; Om”
Agent Oriented Analysis Using Message/UML (2001, methodology): “MESSAGE integrates into a coherent AOSE methodology that can be used by mainstream software engineering departments some basic agent related concepts such as Organization [11, 15], role [12], goal [4] and task [ 13 ], that have so far been studied in isolation.”
Agent-Oriented Software Engineering: The State of the Art (2009, methodology): “– those that take their inspiration from object-oriented development, and either extend existing OO methodologies or adapt OO methodologies to the purposes of AOSE [10, 45, 77, 54, 18, 3, 44, 56, 70]; – those that adapt knowledge engineering or other techniques [8, 49, 36, 16].”
Environment as a first class abstraction in multiagent systems (2007, unknown): “[25, 50, 51, 76, 91].”