![]() ![]() ![]() On the other hand, researchers define "general AI" as the innovative transfer of knowledge from one problem to another. It is not creative and typically breaks down when confronted with novel situations. The present state of artificial intelligence is limited to what those in the field call "narrow AI." Narrow AI excels at accomplishing specific tasks in a closed system where all possibilities are known. But is this the right idea for designing intelligence? But these models also treat the brain like a computer as do many neuroscientists. These artificial neural networks use "deep-learning" techniques and "big data" to approach and occasionally surpass particular human abilities, like playing chess, go, poker, or recognizing faces. Scientists have also tried modeling artificial intelligence on the neural networks of human brains. Yet all approaches have one thing in common: they treat intelligence computationally, i.e., like a computer with an input and output of information. Since then, there have been many approaches to studying artificial intelligence. The quest for artificial intelligence grew out of the modern science of computation, started by the English mathematician Alan Turing and the Hungarian-American mathematician John von Neumann 65 years ago. It would also mean that just about all artificial intelligence research is heading in the wrong direction. If true, it would be a paradigm shift in our understanding of human consciousness. Recent research into the "neuroscience of spontaneous fluctuations" points in this direction. ![]() Or is there? What if reason and logic are not the source of intelligence, but its product? What if the source of intelligence is more akin to dreaming and play? Why? Mainly, it's that most artificial intelligence researchers and scientists are busy trying to design "intelligent" software programmed to do specific tasks. And yet, despite Dick being prophetic about technology in other ways, the question posed in the title is not something AI researchers are that interested in no one is trying to invent an android that dreams of electric sheep. In the 53 years since publication, artificial intelligence research has matured significantly. Dick's iconic 1968 sci-fi novel, " Do Androids Dream of Electric Sheep?" posed an intriguing question in its title: would an intelligent robot dream? ![]()
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