Artificial Intuition

Feb 22, 2009 9:08 PM

There is a strong evolutionary pressure to get better and better at predicting your environment. You would benefit from developing models of other agents so that you can predict how predators or prey will act, and you would want to predict other members of your tribe such as potential mates and rivals. The single skill of prediction, even if it often fails, yields a big advantage in how well you survive and how likely you are to breed. The better you can predict the near future compared to your immediate rivals, the more offspring you will have.

It is easy to imagine a layered brain architecture where sensory input arrives "at the bottom layer". Predictions of these inputs, or lower level predictions in general, could be predicted by higher level predictions in several layers. I believe that this kind of nesting of predictions is the origin of higher level semantics, which would allow an agent to generalize the event that triggers the prediction. The development of Semantics as a nesting of predictions is Biologically Plausible.

Longer term predictions are possible by cascading predictions. Interaction with higher-level predictions that maintain the context (the semantics) could be used to limit the combinatorial explosion that results from cascading.

BIZARRE SYSTEMS

Chaotic Systems  (non-linearities);  Holistic Systems  (unseparable from thier environment);  ambiguity,

emergent properties.

Artificial Intuition

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