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On Intelligence by Jeff Hawkins

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In On Intelligence, Jeff Hawkins hypothesizes a system of human intelligence based on memory, predictions, and pattern matching in what he calls a “memory-prediction framework.” Because he studied and worked in computer science, rather than neuroscience, Hawkins has a unique perspective and writes in terms that are accessible to someone from a non-neurological background or standpoint and often analogous to computer architecture, making the subject matter relatable to the interested layman. However, though he offers a plausible structure of the brain that mostly aligns with current thinking, he does not take into account important recent research, omitting neurologically developments that have been accepted by the scientific community. The main difference that he offers, between traditional approaches to artificial intelligence and his thinking, is the importance of drawing on memory (and associated learned patterns and processes) versus computation. He discusses at length a hierarchical system of the brain, but leaves out two very important components to that system: the thalamus and hypothalamus. He also draws broad conclusions without discussing specific mechanisms for how they are achieved, so his theory is not entirely sound, though it could prove to be. Also, possibly because of his background, and not being immersed in the world of biological science, he is able to critique areas of neuroscience and artificial intelligence with interesting points about each. The book

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