Qualitative Understanding Of Complex Systems
Jon Awbrey <[email protected]>
| Newsgroups | gmane.comp.inquiry,gmane.comp.misc.ontology.general |
|---|---|
| Message-ID | <[email protected]> |
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o QUOCS. Note 1 o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o "If it quocs like a duck ..." Matthew, The problems of how human beings can reach a qualitative understanding of complex dynamic systems, whether artificial, engineered, intelligent, natural, organizational, or physical, has been been on the minds of many applied mathematicians, control systems engineers, and operations research workers for quite a few years now, as I'm sure you know, and these are also some of the questions that have occupied me for about a decade now. Recent discussions in this forum tell me that a few of us may not wholly appreciate the extent to which the things that we can learn from the study of particular, well-chosen, and hopefully intelligent control systems might be generalized to apply to many other systems at the same level of complexity. So I will insert this peg in e-space on which to hang some thoughts about the more generalizable aspects of the Lifecycle Integration Schema and other schemata of that same ilk. Jon Awbrey o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o