|InterJournal Complex Systems, 223
|Manuscript Number: |
Submission Date: 981128
|Syntropy and Entropy in Self-organized Systems|
Subject(s): CX.43, CX.44
The article summarizes a theory constructed to provide professionals with a friendly usable means for simulating the effects of possible planning decisions on the evolution of systems such as, for example, urban, regional and economyc systems. Any complex system can be seen as set of different components linked to each other by mutual interactions. Only part of such interactions can be considered as random, since most of them are intentionally generated and directed. This theory of systems in evolution develops the concept of "intentional interaction" between components of a complex system. The theory is based on three fundamental hypotheses concerning the nature of both the interactions considered and the "intent" associated with each interaction. The approach is substantially probabilistic. The principal theoretical result is a method for describing and analyzing the evolution processes of complex self-organized systems. For this purpose, a number of specific concepts have been introduced, such as, for example, the concept of "syntropy" (as opposite of "entropy") for measuring the system organization degree. The system's evolution is represented by subsequent "cycles". At the end of each cycle a change in the system structure is necessary for the system's survival and the start of e new cycle. The reference time for this process is descrete and expressed by the sequence of "phases" that determines every cycle. A different "intrinsic time" measures the age of the system. Various phase parameters are defined to assess the status of the system in every stage of its evolution. The theory has been tested through various applications over a period of more than ten years. Specific computer software supplements the theory for practical exercises.
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