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Moni
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How do we learn? And in the same way can a machine learn?
selfAdjoint said:There are (at least!) two meanings to the word learning. One is the simple kind of learning that simple animals do, like conditioning. For this we have a pretty good understanding, it's based on the strengthening of a neural connection when it it is excercised repeatedly. A scientist named James Hebb had this neural idea back around 1950, and this kind of learning is called hebbian. The neural networks idea in computer software is based on it.
The other kind of learning is the complex and subtle kind we do every day. On that we have some good research but no deep understanding yet.
RunDMC said:A computer can learn but not comprehend.
Intuitive said:That depends on how well the programming routine is (tree'd)
The only limit is ones own programming ability.
neurocomp2003 said:no you need to look in ALife/AI journals and Neural Net journals for what you want. It also depends on the learning..pseudo learning (ie Game AI-liek deep blue) or realistic learning liek the Blue Brain PRoject by IBM and swiss lab.
MIT has some really neat Computer vision as well as york university.
And there are industrial learning algorithms that use principals of th brain for industrial stuff like Cryptography and Satellite imaging and medical imaging.
Also look at steve grands Lucy its kinda cool or look up gary flakes book.
http://en.wikipedia.org/wiki/Fuzz" 's some Fuzzy stuffs.Moni said:can you provide some link on them?
Fuzzy stuffs?
Yet comprehension could be described as an emotion triggered by new neural passage ways being opened or else altered. It is a sensation. The thing is, robots can't feel emotion which makes them different than us. They might be able to display the neurological change, but to feel it.. hmm...RunDMC said:A computer can learn but not comprehend.
There's a theory that a complete and accurate simulation of an average brain would naturally produce intelligent thought, but there's no way to test this with current computers.
Moni said:how about an intelligent computer system...who itself can write program for itself ;)
Our brains learn through a process called neural plasticity, where connections between neurons are strengthened or weakened based on our experiences and interactions with the world. This allows us to adapt and learn new skills and information.
Yes, we can improve our learning abilities through various techniques such as practice, repetition, and active learning. By engaging in these activities, we can strengthen our neural connections and improve our ability to retain and apply new information.
Yes, machines can learn through a process known as machine learning, which involves programming algorithms to analyze data and make predictions or decisions based on that data. While it is a different process than human learning, it can mimic similar patterns and adapt to new information.
One limitation of machine learning is its reliance on data. In order for a machine to learn, it needs to be trained on a large amount of data, which can be time-consuming and costly. Additionally, machines may struggle with tasks that require human-like intuition or creativity.
It is possible for machines to surpass human learning abilities in certain tasks, such as processing and analyzing large amounts of data quickly and accurately. However, machines still lack the ability to understand and make decisions based on emotions and social cues, which are important aspects of human learning and intelligence.