Complex Systems Theory

Most of science has been founded on reductionism, where a system is repeatedly simplified until it allows analysis.

Complex systems are where the behaviour is due to the interaction of multiple things. Thus they cannot be “reduced. An example is flocking behaviour. One could not predict flocking by looking at the behaviour of one bird, as the flock is a result of their interaction. My consideration of complex systems has given me an incite into many things. Here are some of my conclusions

• I’ve identified a set of classes for complex systems (Currently 19)

• ““Corporate entities” Business, religion, tribe, nation, have “Emergent behaviour” which is common to them

• DNA based life, language, philosophy and many other systems exhibit similar emergent behaviour.

• Emergent behaviour” in a complex system is selfish, i.e. it has little or no regard for its individual constituent agents.

• And individual ( agent) within a complex system can be active in many other systems

  • Agents can cope with being in multiple systems that are in conflict

• “Error Correction” is a very common emergent behaviour

  • A common failure is where error correction” uses more resources han the error it is trying to keep in check, ( Auto-immune response)

• A complex system will evolve more rapidly when

  • Error correction systems have not yet evolved

  • Where agents exchange information promiscuously

  • When new resources have been identified but are not yet “owned” by a competing system