| Complex adaptive systems |
CAS are special cases of complex systems which have the
ability to ‘learn’ and change based on experience. Classic examples of CAS are
as diverse as the stock market, the brain, or the immune system. Lately CAS
approaches have been applied to social organizations and communities (Fuller & Morgan, 2000;
McMillan, 2004; Stacey, 1996). Another property of adaptive systems is that
they have many levels of organization. They have elements or agents which are
seen as building blocks. What Holland
means by that is that agents on one level become the elements of an agent on a
higher level. For example an individual might group with others to build a
project team or department etc. Adaptive systems are also constantly
reconsidering and reorganizing themselves as they gain experience. “Succeeding generations of organisms will
modify and rearrange their tissues throughout the process of evolution. The
brain will continually strengthen or weaken myriad connections between its
neurons as an individual learns from his or her encounters with the world. […]
At some deep fundamental level, […] all these processes of learning, evolution,
and adaptation are the same. And one of the fundamental mechanisms of
adaptation in any given system is this revision and re-combination of building
blocks” (Waldrop, 1994, p. 146). (see Annex C for more
detailed info)
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