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MIT 6.034 Artificial Intelligence, Fall 2010
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Instructor: Patrick Winston

In this lecture, we consider the nature of human intelligence, including our ability to tell and understand stories. We discuss the most useful elements of our inner language: classification, transitions, trajectories, and story sequences.

License: Creative Commons BY-NC-SA
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Kid Pyromania says:

great series of lectures. student in second row on our left NEVER took a single note. Must be one of those human sponge types


Thanks Professor Patrick Winston and MIT for this open access course. Professor Patrick Winston's learning style is really good and effective..

E M says:

17:59 Just like the Logitech G710+ G1-G6 keys! At first you miss click them instead of ESC and CTRL!

Heng Yue says:

The Strong-Story Hypothesis can be summarized as: Don't use references (pronouns and "former", "latter"), and Use Hashes (address the name). This also explains why Winston enjoys the idea that giving something a name and you have power over it. Because by giving it a name, you assigned it a hash key.

JNS Studios says:


rewtnode says:

Parasitic semantics

q zorn says:

lucky mit students of the world.

pendragvn says:

13:34 ouch..

Martin M says:

I sometimes wonder about that idea (closing comment) that we should re-use the same words in referring to something, I know this is the norm in scientific subjects, but I wonder if using different words approaching 'the object' is preferred by humans perhaps because (1) we wish to stress a facet of the object emphasized in that word eg. "the tiger advanced slowly and then the predator pounced on his prey", or (2) we are somehow acutely aware of meaning as a moving target, and the act of definition being caught up in the words we use to manipulate the definition, as if it had a solid meaning – but knowing it doesn't, and using this interdependency to bolster-up the definition of the object the way we want it, by means of fluid concept formation, or (3) when we over-use labels, it somehow doesn't help our cognitive processes, because maybe we start to lose semantic content rather than gain it, and it suggests we should use symbolic-manipulation – which we don't want to do, because we're bad at it and anyway it probably wouldn't work.

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