Price is the OG of compression algorithms.
NN analogy explored: Accounting driven decision making is back propagation Outputs are kinds of products sold Profit is maximized The firm is the node
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Single layer Neural Networks are incapable of mapping high dimensional inputs to correctly classified outputs that are distinct in nuanced ways. Compare this to an economy with no specialization. The input is the natural world and outputs are food, water, shelter.
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In multilayer neural networks, feature recognition becomes possible. Layers are industrial segments Features are differentiated products In an economy with specialization, service providers could be grouped into layers by function, geographic location, goods bought or sold.
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"Nasty little Buddhist"
Seeking via neuroscience and psychology informed dharma.