Barabasi: Scale-Free Networks

linkedLinked by Albert-Laszlo Barabasi has opened up an incredible range of knowledge regarding the laws of networks.  Albert goes far beyond the work of Duncan Watts in Six Degrees to explain the existence of many of the observed properties of complex networks and consequently the behaviour of complex systems.  The random graphs, clustering, power curves, hubs, network growth,  preferential attatchment, fitness, Bose-Einstein condensates are all introduced to the reader.  Ultimately the book is an introduction to the discovery of scale-free networks and reveals that all the past models based on random networks are wrong.

I highly recommend this book to anyone wanting to learn the current understanding of networks and the implications.


Intelligence is not Behaviour but Prediction

Came across a video of Jeff Hawkins of the Redwood Neuroscience Institute explaining brain theory.


Remember, the above diagram as you view the video. Also think about the Universe of Discourse as explained by James Moffett. The theory has already been hinted at.

Tetrad Theories (continued)

In my previous post I gave some examples of tetrad theories. Here are some more:


The first column is SQL again, just to give us our bearings. The second column is based on graphing terminology. The third column is based on a book Innovator’s Dilemma. The fourth column deals with the basic relationships and cardinality of data modeling. The fifth column with the basic facets of physics.

Again, the rows correlate.