Corrie van Wijk
19-11-2008, 08:16 AM
From: Stephen Wolfram: A New Kind of Science
Wolfram Media, Inc. ISBN 1-57 955-8, 2002, page 193
Network Systems
"A network system is fundamentally just a collection of nodes with various connections between these nodes, and rules that specify how these connections should change from one step to the next.
At any particular step in its evolution, a network system can be thought of a little like an electric circuit, with the nodes of the network corresponding to the components in the circuit, and the connections to the wires joining these components together.
And as in an electric circuit, the properties of the system depend only on the way in which the nodes are connected together, and not on any specific layout for the nodes that may happen to be used.
Of course, to make a picture of a network system, one has to choose particular positions for each of its nodes. But the crucial point is that these positions have no fundamental significance: they are introduced solely for the purpose of visual representation."
Many of you have an NLP background and probably started to work clean with symbolic modelling. So perhaps you tend to understand one thing in terms of something you already know.
The quote above makes it clear that clean space is not about picturing a symbolic landscape in space, as I noticed it seems to be taught, not even picturing a network. What happens in the brain is like an electric circuit where some nodes connect and others don’t and how you can (perhaps?) change that by triggering them, allowing weak ties to communicate.
And clean space may just be about retrieving memories in a state dependent context.
Wolfram Media, Inc. ISBN 1-57 955-8, 2002, page 193
Network Systems
"A network system is fundamentally just a collection of nodes with various connections between these nodes, and rules that specify how these connections should change from one step to the next.
At any particular step in its evolution, a network system can be thought of a little like an electric circuit, with the nodes of the network corresponding to the components in the circuit, and the connections to the wires joining these components together.
And as in an electric circuit, the properties of the system depend only on the way in which the nodes are connected together, and not on any specific layout for the nodes that may happen to be used.
Of course, to make a picture of a network system, one has to choose particular positions for each of its nodes. But the crucial point is that these positions have no fundamental significance: they are introduced solely for the purpose of visual representation."
Many of you have an NLP background and probably started to work clean with symbolic modelling. So perhaps you tend to understand one thing in terms of something you already know.
The quote above makes it clear that clean space is not about picturing a symbolic landscape in space, as I noticed it seems to be taught, not even picturing a network. What happens in the brain is like an electric circuit where some nodes connect and others don’t and how you can (perhaps?) change that by triggering them, allowing weak ties to communicate.
And clean space may just be about retrieving memories in a state dependent context.