IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

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

On System Algebra: A Denotational Mathematical Structure for Abstract System Modeling
View Sample PDF
Author(s): Yingxu Wang (University of Calgary, Canada)
Copyright: 2009
Pages: 26
Source title: Software Applications: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Pierre F. Tiako (Langston University, USA)
DOI: 10.4018/978-1-60566-060-8.ch179

Purchase

View On System Algebra: A Denotational Mathematical Structure for Abstract System Modeling on the publisher's website for pricing and purchasing information.

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.

Related Content

Babita Srivastava. © 2024. 21 pages.
Sakuntala Rao, Shalini Chandra, Dhrupad Mathur. © 2024. 27 pages.
Satya Sekhar Venkata Gudimetla, Naveen Tirumalaraju. © 2024. 24 pages.
Neeta Baporikar. © 2024. 23 pages.
Shankar Subramanian Subramanian, Amritha Subhayan Krishnan, Arumugam Seetharaman. © 2024. 35 pages.
Charu Banga, Farhan Ujager. © 2024. 24 pages.
Munir Ahmad. © 2024. 27 pages.
Body Bottom