Nonlinear Causality
Вставка
- Опубліковано 24 вер 2016
- Take the full course: bit.ly/SiCourse
Download booklet: bit.ly/SiBooklets
Twitter: bit.ly/2JuNmXX
LinkedIn: bit.ly/2YCP2U6
Nonlinear causation is a form of causation where cause and effect can flow in a bidirectional fashion between two or more elements or systems and where a single effect may have multiple causes. The essential characteristic of nonlinear causality is the idea of feedback that an effect can create a cause, but equally, this cause can then feedback to create an effect in the first system.
i wonder if, on a deeper scale; everything is nonlinear, and we only perceive some things as linear because we cant grasp the total concept.
Good material as usual.
thanks for all the systems videos. i learn every day
Systems with feedback can be modeled using Dynamic Bayesian Networks. In the example of the plane in flight, all the reasons given both in 'linear' and 'nonlinear' causality are causes, which can be represented as parent nodes of the 'plane in flight' node in a Bayesian Network.
Thank you. Clear, Simple, Interesting. Although, just like how causality is vague and emergent, "goals" are probably not real things either!
@Systems Innovation In truth then we can always trace back the Linear End Effect to a multitude of Non Linear Cause & Effect Cycles which ultimately lead us back to our original Linear Beginning Cause. To illustrate this statement we may simply imagine a person throwing a pebble into a body of water:
The future is dynamic in the present
How does nonlinear causality create indeterminism when simply a particular cause creates the corresponding effect at the molecular level? Does it matter if the cause or the causes are linear when there's conservation of energy?
Nonlinear seems a misnomer. Seems to me it would more apt called multi linear effect
I think correlation is for reductionism and causation for system thinking
chicken and the egg on expert mode
Linear causation is a misconception
4:30