22 NOV 2017 by ideonexus

 Top-Down Engineering of AI

The philosophers’ fascination with propositions was mirrored in good old-fashioned AI, the AI of John McCarthy, early Marvin Minsky, and Allen Newell, Herbert Simon, and Cliff Shaw. It was the idea that the way to make an intelligent agent was from the top down. You have a set of propositions in some proprietary formulation. It’s not going to be English—well, maybe LISP or something like that, where you define all the predicates and the operators. Then, you have this huge database that ...
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01 MAR 2016 by ideonexus

 "Intelligent" Holds "Paranormal" Connotations

As soon as AI successfully solves a problem, the problem is no longer a part of AI. Pamela McCorduck calls it an "odd paradox," that "practical AI successes, computational programs that actually achieved intelligent behavior, were soon assimilated into whatever application domain they were found to be useful in, and became silent partners alongside other problem-solving approaches, which left AI researchers to deal only with the "failures," the tough nuts that couldn't yet be cracked."[3]
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"Interesting. Seems similar to the notion that "paranormal" things become "normal" once there are scientific explanations for them."

Also: God of the gaps.

13 NOV 2015 by ideonexus

 Artificial Intelligence VS Intelligence Augmentation

IA, or Intelligence Augmentation, is all about empowering humans with tools that make them more capable and more intelligent, while traditional AI has been about removing humans fully from the loop. The traditional torch bearer for IA is Douglas Engelbart, who laid the seeds for much of the Personal Computer revolution with his famous Mother of All Demos in 1968, where he demoed the computer mouse, hypertext, windowing, videoconferencing, and more for the first time. Douglas Engelbart was foc...
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13 MAY 2015 by ideonexus

 Thinking Means Understanding in More Than One Way

Thus, your knowledge is represented in various forms that are stored in different regions of the brain, to be used by different processes. What are those representations like? In the brain, we do not yet know. However, in the field of Artificial Intelligence, researchers have found several useful ways to represent knowledge, each better suited to some purposes than to others. The most popular ones use collections of "If-Then" rules. Other systems use structures called 'frames'--which resemble...
Folksonomies: cognition understanding
Folksonomies: cognition understanding
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