Machine Intelligence: The Death of Artificial Intelligence

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Machine Intelligence: The Death of Artificial Intelligence
Machine Intelligence: The Death of Artificial Intelligence by John Ball
English | Apr. 13, 2016 | ASIN: B01E9NM1XM | 82 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.7 MB
We sit at the threshold of the next generation of artificial intelligence”the development of true machine intelligence.

Brains arent what you think they are. They arent computers and they dont process data. Cognitive science tells us that the brain is more of a pattern-matching machine than a processing machine. Understanding meaning”Natural Language Understanding”cant be achieved through statistical processing. NLU relies on a richer environment that looks at patterns in linguistics, as well as sensory perceptions. Machine Intelligence, first published in 1998, takes the reader through the research that lead to Patom Theory, a brain-based theory based solely on a brain that stores, matches, and uses patterns.

Ball, a cognitive scientist, began exploring the gap between how our brains interpret information and how computers work in 1983. Research, development collaborations and idea exchanges with the likes of A.I. co-founder and Turing Award winner Marvin Minsky became the foundation of Patom Theory. The theory has laid the groundwork work for NLU software developments that may lead to truly intelligent machines.

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