On Abstract Systems and System Algebra
Systems are the most complicated entities and phenomena in the physical, information, and social worlds across all science and engineering disciplines. This paper presents a mathematical theory of system algebra and its applications in cognitive informatics, system engineering, and software engineering. A rigorous treatment of abstract systems is described, and the algebraic relations and operations of abstract systems are analyzed. Important properties of systems such as system mutation, work done by systems, the maximum output of systems, system equilibriums, system synchronization, and system dissimilation, are formally modeled. An age-long myth in system theory that states the whole is larger than the sum of its parts is formally explained. On the basis of the abstract system theory, a wide range of real world phenomena and problems can be explained and solved.
Cognitive informatics system theory abstract systems mathematical models engineering applications software engineering
Yingxu Wang
Theoretical and Empirical Software Engineering Research Centre Department of Electrical and Computer Engineering University of Calgary 2500 University Drive NW, Calgary, Alberta, Canada T2N 1N4
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
332-343
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）