Engineering multi-agent systems using feedback loops and holarchies. (October 2016)

• Record Type: Journal Article
• Authors: Basso, Gillian; Cossentino, Massimo; Hilaire, Vincent; Lauri, Fabrice; Rodriguez, Sebastian; Seidita, Valeria
• Is Part Of: Engineering applications of artificial intelligence. Volume 55(2016:Jul.)
• Page Start: 14
• Page End: 25
• Publication Date: 2016-10
• Subjects: Feedback loops -- Methodology -- Multi-agent systems -- Holarchies; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2016.05.009
• Languages: English
• ISSNs: 0952-1976

Abstract

Abstract: This paper presents a methodological approach for the engineering of Multi-Agent Systems using feedback loops as a first class concept in order to identify organizations. Feedback loops are a way for modeling complex systems that expose emergent behavior by means of a cause-effect loop between two levels called micro and macro levels of the system. The proposed approach principles consist in defining an abstract feedback loop pattern and providing activities and guidelines in order to identify and refine possible candidates for feedback loops during the analysis phase of the Aspecs methodology. This approach is illustrated by using an example drawn from the smart grid field.