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A Category-theoretic Approach to Organization-based Modeling of Multi Agent Systems on the Basis of Collective Phenomena and Organizations in Human Societies
Author(s) -
Abderrahim Siam,
Ramdane Maamri
Publication year - 2018
Publication title -
informatica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 34
eISSN - 1854-3871
pISSN - 0350-5596
DOI - 10.31449/inf.v42i4.1282
Subject(s) - basis (linear algebra) , epistemology , self organization , management science , knowledge management , sociology , computer science , business , artificial intelligence , engineering , mathematics , philosophy , geometry
This paper presents an idea of using category theory for developing organizational multi-agent systems taking inspiration from collective phenomena and organizations in human societies. Category theory is used for studying and formalizing organizations and collective phenomena in human societies   with the aim of capturing their logics into categorical models. Afterward, the captured models are mapped categorically to categorical MAS organizational models.   This way of thinking allows studying properties of result MAS organizational models as well as properties of organizations in human societies such as stability and adaptation before taking them as landmarks for developing MAS organizational models.

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