Title : 
On Long Lifespan systems
         
        
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB
         
        
        
        
        
        
            Abstract : 
Complex systems are not only characterized by their magnitudes, but also their lifespans. This paper presents a theory of Long-Lifespan systems (LLS´s) and its applications in explaining the properties of complex systems from both the function and time dimensions. The mathematical models of LLS´s such as those of the abstract systems, system magnitudes, and system lifespan, are established. Then, properties of LLS´s, particularly those of system conservation, system equilibrium, and system self-organization, are formally analyzed. The fundamental mechanisms and applications of LLS´s in economics are elaborated, followed by the description of the global warning and the greenhouse effect in order to explain the rational causality of global climate system as a typical LLS system.
         
        
            Keywords : 
environmental economics; global warming; large-scale systems; abstract system; complex system; economics; global climate system; global warning; greenhouse effect; long lifespan system theory; mathematical model; system conservation; system equilibrium; system magnitude; system self-organization; Cognitive informatics; Concrete; Drives; Environmental economics; Global warming; Knowledge engineering; Large-scale systems; Mathematical model; Software engineering; Systems engineering and theory; Cognitive informatics; LLS; causality; climate system; complex systems; economic system; global warming; greenhouse effect; inertial system; large-scale system; lifespan; long-lifespan system; magnitude; mathematical models; properties; system engineering; system science; system theory;
         
        
        
        
            Conference_Titel : 
Cognitive Informatics, 2008. ICCI 2008. 7th IEEE International Conference on
         
        
            Conference_Location : 
Stanford, CA
         
        
            Print_ISBN : 
978-1-4244-2538-9
         
        
        
            DOI : 
10.1109/COGINF.2008.4639196