I mean no advise for nobody. I try to demonstrate "we are doing math by recall process". But I can say that students must memorize the first 10 numbers (0 - 9) and sum of each pair of single digits or count up by 1. then they learn methodology how to extent this ability for multi digit numbers (via carry digit).I would claim that in the experiment cited by TMT the teachers fail to provide some useful context to the children
I'm agree with this. But let me enhance it. there are many neurons stimulated simultaneously for a case as you said "I, myself, count for instance steps on a hike using patterns of rhythms and songs" is stimulate another set of neurons. The neurons already stimulated by question will receives also this fired signal by neurons response to song. Therefore the answer neuron group will be stimulated more early.Computers work (basically) serial, brains work parallel.
A neuron works more like a leaky conductor that only fires if it gets a certain amount of input within a certain time, a transistor is like a switch
Unfortunately, as has been mentioned earlier, the 'learning' is subjected to quality criteria which can be dictated by the humans who developed the algorithms. But there is always the risk of the 'Hal' syndrome in which the computer decides to look further beyond its brief and could make very Hippocratic decisions and appear to have failed. Perhaps not yet but, as the technology progresses, the computer could deliberately make the 'wrong' diagnosis in order to achieve a result that it 'thinks' is better than the medics may think. Would that mean it was better or worse than the humans?Neural nets have gotten as good as expert doctors at diagnosing imagery.
I was explained this is due to difference of their structures and operations. You have to know that all in machine and operations are based on human assumptions. E.g. binary presentation on/off or true/false and setting of this elements in sequence was accepted as a polynomial based 2. each figure of 2 power is multiplied with either 0 or 1 of sequence. Means, you can represent any number with sequence of on/off elements. Then alphabet is also assumed as order number of letters. We can represent any word with sequenced numbers. in electronic we designed some components to handle logic operations "AND","OR", "NOT" and "NAND", "NOR","EXCLUSIVEOR", arithmetic operators like adder is designed with a truth table. For subtraction , complement arithmetic is enable us to reuse adder circuit. We assumed first multiplier of multiplier in polynomial represent sign of number (1 Negative, 0 Positive) to subtract a number from another number we first produce complement of number and add to other number. Since every entity of data is number subtraction will gave us comparison value (<0 less, 0 equal, >0 greater.) All those are assumption. Even some folks disagree, there is no dedicated circuit for multiplication. Multiplication performed with combination of shift registers, counters, adders. As you notice speed is completely depend on electronic components on/off transition time which is around nanoseconds.1 + 1 = 2 or does it? Machines can figure out binary math faster than we can. But we can solve complex problems faster than a computer. It all depends on the input and the desired output is something we have some experience with or is it something we even want to do. Like the IQ test someone shoved at me 9. I didnt really want to do it, about 4/5ths into the test I started to get extremely bored. But I stuck with it as long as I could. Scored 147. I do not remember the time limit on the test. Could a computer solve all the problems in a shorter time period. Depends on what they are programmed to do. Every computer has to be programmed by a human so far. When it is the other way around what will they try to make? Then things might get scarey.
The brain is complex; in humans it consists of about 100 billion neurons, making on the order of 100 trillion connections. It is often…nautil.us