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On System Algebra: A Denotational Mathematical Structure for Abstract System Modeling

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  • Yingxu Wang

    (University of Calgary, Canada)

Abstract

Systems are the most complicated entities and phenomena in abstract, physical, information, and social worlds across all science and engineering disciplines. System algebra is an abstract mathematical structure for the formal treatment of abstract and general systems as well as their algebraic relations, operations, and associative rules for composing and manipulating complex systems. This article presents a mathematical theory of system algebra and its applications in cognitive informatics, system engineering, software engineering, and cognitive informatics. A rigorous treatment of abstract systems is described, and the algebraic relations and compositional operations of abstract systems are analyzed. System algebra provides a denotational mathematical means that can be used to model, specify, and manipulate generic “to be” and “to have” type problems, particularly system architectures and high-level system designs, in computing, software engineering, system engineering, and cognitive informatics.

Suggested Citation

  • Yingxu Wang, 2008. "On System Algebra: A Denotational Mathematical Structure for Abstract System Modeling," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 2(2), pages 20-43, April.
    • Handle: RePEc:igg:jcini0:v:2:y:2008:i:2:p:20-43
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jcini.2008040102
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    Cited by:

    1. Bimba, Andrew Thomas & Idris, Norisma & Al-Hunaiyyan, Ahmed & Mahmud, Rohana Binti & Abdelaziz, Ahmed & Khan, Suleman & Chang, Victor, 2016. "Towards knowledge modeling and manipulation technologies: A survey," International Journal of Information Management, Elsevier, vol. 36(6), pages 857-871.

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