Skip navigation
  • DSpace logo
  • Home
  • Collections
  • Research Outputs
  • Researchers
  • Faculties
  • Projects
  • Explore by
    • Research Outputs
    • Researchers
    • Faculties
    • Projects
  • Sign on to:
    • My DSpace
    • Receive email
      updates
    • Edit Account details

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/313
Title: A Category-theoretic Approach to Organization-based Modeling of Multi Agent Systems on the Basis of Collective Phenomena and Organizations in Human Societies
Authors: Siam, Abderrahim 
Maamri, Ramdane 
Affiliations: ICOSI Lab University, Abbes Laghrour khenchela 
Faculty of Information and Communication Technology (ICT) 
Keywords: Multi-Agent Systems;organization;category theory
Issue Date: 30-Jun-2018
Journal: Informatica 
Volume: 42
Start page: 563
End page: 578
Abstract: 
This paper presents an idea of using category theory for developing organizational multi-agent systems by 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.
URI: http://dspace.univ-constantine2.dz/handle/123456789/313
DOI: 10.31449/inf.v42i4.1282
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat
1282-5081-1-PB.pdf307 kBAdobe PDFView/Open
Show full item record

Page view(s)

52
Last Week
3
Last month
7
checked on Feb 25, 2023

Download(s)

3
checked on Feb 25, 2023

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Explore by
  • Collections
  • Research Outputs
  • Researchers
  • Faculties
  • Projects
Feedback
Built with DSpace-CRIS - Extension maintained and optimized by Logo 4SCIENCE