Introduction to Part 2

The topics to be studied in this part are related to “life science” considerations, as follows:

  1. product lifecycle of living systems;
  2. aging and death: main principle;
  3. aging and death characteristics;
  4. the aging of the human population;
  5. product lifecycle of the brain;
  6. dynamic considerations for aging and dying.

Are we moving toward bionic system design models? As stated before, advances in sciences are invading our life. Tomorrow’s world will comprise two challenges:

  • – transhumanism, since we can extend all of our human functions and activities. However, we do not know yet what the limits and cost of this paradigm change are. Here, we have to address all the items relevant to life sciences and the evolution of human beings.
  • – Big Data: there is so much data to be handled that accumulates quickly, that only computers can process it. This approach is a kind of artificial intelligence and business analytics. Hopes are encouraging, but possible deviations are frightening.

We also have to take into account the uncertainty and unpredictability due to system dynamics. The merge between “knowledge systematization” and nonlinear dynamics (NLD) has not been done, despite the remarkable advances made in recent approaches, such as implemented at IBM (Blue Geen and Watson machines). Concerning sustainability, we can point out that the so-called “knowledge systematization and modeling” is too formal. On the other hand, the NLD is uncontrollable and requires the implementation ...

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