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Another excerpt on Modelling



Another part of that same essay (from "Essays on Life, Itself") that speaks to John K.'s concerns:
 
Robert Rosen said:
          "There are many, seemingly different, disciplines or areas of  human knowledge and endeavor that share striking similarities between them.  These similarities, or analogies, are often useful and illuminating because the lessons learned from one can often be applied successfully to many others. This is particularly true, in my experience, with the lessons learned from Biology. 
 
          For example, one would not be alone in the belief that biology and economics are markedly different disciplines. However, many years ago, in 1975, I was invited to participate in a meeting about ?Adaptive Economics?, despite my protests that I knew nothing about economics. Clearly, the organizers were of the opinion that ?adaptive? is universally good; a word impossible to use pejoratively, and what was wrong with our economic system was, in some sense, its failure to be sufficiently adaptive. Equally clearly, they wanted me only to provide some biological examples of adaptation, to lend indirect support to this view. I thought I could easily provide a catalog of such, and set out to write a paper in this vein. However, I ultimately found myself writing something quite different. The lessons from biology turned out to be that ?adaptiveness?, while useful in economic systems,  is not universally good; too much of it, in the wrong places, will tear cooperative structures apart.
 
         Indeed, it turns out that organism physiology is very careful in its apportionment of adaptivity; survival depends on it. This is not the lesson the organizers wanted me to deliver from biology, but it is the one which biology itself wanted to deliver; one small excerpt from its Encyclopedia. To ignore these lessons is to invoke another situation that has come out of my work: the subject of side-effects.
 
         Side-effects are unintended  and/or undesirable consequences that arise inevitably whenever attempts to use simple controls on a complex system are employed. As I show in the following, these side-effects generically cascade into a devastating infinite regress.  Biology, seen in this light, consists of illustrations of how such cascading side-effects  can be forestalled or avoided; however, the result is, inevitably, a system with relational properties very like my (M,R)-systems, which are a model of the essence of ?Complexity? in my use of the term. Specifically, there must be a characteristic ?backward loop?, relating a ?next stage? in such a cascade with earlier stages; a future with a past. This, it should be noted, is the hallmark of an impredicativity; one of the characteristics of a  ?Complex? system itself, and one of the main pillars on which my work defining ?Complexity? is built."
 
So, if modelling some complex biological system like global weather, the place to use the information about complexity is in developing models that reflect the basic hallmarks of organismic levels of complexity. Relating a "next stage" with earlier stages is anticipatory. Therefore, anticipatory means of control are what he is saying are called for in therapies and cures. In order for your model to be of help to you in the design of these therapies, the model has to show the anticipatory aspect of living systems.
 
Judith