How to pronounce “heuristics” in English

Heuristics is just a rule of thumb, something that's going to work in the majority of situations.

heuristics of exactly how one goes about deciphering an unknown script from the ancient past.

different heuristics, right, shortcuts that's going to get us to feel some type of emotion.

We can engineer those heuristics into different products, whether they're digital or physical.

I was curious what heuristics or tests you could do to probe a population to determine those clusters without having the graph?

This is sometimes called heuristics or cognitive algorithms.

to generate really smart heuristics that are probably pretty close to being right in pretty short order.

So some of the heuristics that we can learn when we look at other species is any health dynamic you care about-- thermal regulation,

There's a new study about influencer heuristics.

So we need to take heuristics seriously.

It's a negative take on heuristics.

So I work through some really simple heuristics.

We go with rules of thumb and heuristics.

You have what we call heuristics.

There's a long list of the heuristics and biases that have been discovered by psychologists.

But you now also have to evaluate quite a few heuristics that you would not need to evaluate when doing pure Dijkstra.

Psychologist Daniel Kahneman describes these mental shortcuts as heuristics, that together, create systemic errors called cognitive biases.

You're subject to all sorts of bugs and mental heuristics and prejudices and biases and everything.

So under uncertainty, simple heuristics are often as accurate.

Where do you see the adaptive rationality and fast and frugal heuristics literature going next?"

Well, the answer is heuristics, so shortcuts, rules of thumb that allow us to make decisions on autopilot and allow us to react to situations without thinking.

And these are the kind of shortcuts and heuristics that we use to navigate the world without having to think everything through.

so you can codify it in the rules or heuristics like Deep Blue was.

And I don't know if you all know heuristics and biases and Danny Kahneman, if you've read that book, "Thinking Fast and Slow."

But for the amateur trying to quickly arrive at good heuristics, it's the right place to start.

So I'm coming from a background of decision making and where I study simple heuristics as opposed

So the first things would be to change the schools and teach these type of heuristics like lateral thinking or click restraint.

you the right answer to every problem, and heuristics are second best.

And I think that most of them are using some kind of heuristics, but they just don't want to talk about it.

Yesterday I was-- no, this is heuristics.

So we, using our quick heuristics, can immediately decide what this says.

And so, on the side of the people, the heuristics that are the-- and it's certainly a situation where,

or something else going off, we are trained behaviorally to pay attention to those sound heuristics.

So that's why stereotypes, generalities, all these heuristics happen in our brains.

And so I titled this chapter-- so those rules, those kind of heuristics, accepting that

And I won't go too much into this, but one of the heuristics that's very important is realizing the importance of culture,

So there was something missing from the Deep Blue system, and obviously those techniques, those expert system techniques where you hand curate the heuristics and then you use

And more importantly, our highly evolved pattern recognition skills allow our brains to apply mental shortcuts, or heuristics, that help us

So the original idea of AI was, one, where one tried to analyze the heuristics that

are rules of thumb, that you need in uncertainty, where you can optimize, then analyzing the heuristics experts use and program them in computers to make computers smart.

And I think that was one of the things that struck me most about your-- you presented, basically, three or four heuristics

So we have another question from Octavio, who says, "You spearheaded the study of heuristics we humans and animals use for decision-making.

Similarly, if we think about visual perception, visual perception is such a complex process that we need to rely on shortcuts, on heuristics,

What's needed is software which I don't think exists, because I don't think AI heuristics will solve that problem.

I mean, you don't hear A-Star Search much now, but if you apply data properly to A-Star Search and you come up with clever heuristics on how

Well, when we make decisions, especially when we are busy-- and we are busy most of the time-- we rely on heuristics.

And in fact, when it comes to strangers, the easiest heuristics is our first impression.

Of course it has sensory input, and it deals algorithmically and using a variety of techniques and heuristics from this input.

we can accumulate ideas, beliefs, values, heuristics, bodies of know-how, bits of our language.