<h2>It's better that way</h2>

<p>Disregarding <em>how</em> this is implemented biologically, the answer to <em>why</em> is because it provides optimal results.</p>

<p>In learning systems where you are able to freely adjust the ability to learn - e.g., AI research 'reinforcement learning' paradigm, there is a tradeoff commonly called Exploration vs Exploitation - i.e., should the agent focus on gaining new experiences by trying out new solutions that might be worse or better (but you don't know), or should it do things in the way that it believes to be best, and ignore the other options.  Quite intuitively, you do get the best results by focusing on exploration early-on when you have little knowledge, and avoiding exploration after you have 'sufficient' amount of experience. </p>

<p>Similarly, in learning systems which "passively" receive new knowledge, there is a balance decision - how much should you alter your beliefs after seeing new evidence. If a two year old kid saw a flying man, it'd make sense to believe that men could fly - after all, two year olds see radically new phenomena almost every day, and it is useful to adjust their beliefs to note "ok, X is working that way, and Y always happens before Z" - even if they'd just seen it a single time.  However, if a sixty year old saw a flying man, it'd instead make sense to look for wires and a movie camera crew.  Similarly, in machine learning systems it is optimal to slow down belief adjustment(=learning) with time - as you've accumulated a larger baggage of earlier evidence, the newer evidence is comparatively much less important.</p>

<p>Now, going back to people - as per the above examples, in any learning system, you get the best results by slowing down your learning rate with time. Learning is a very useful capability for survival&reproduction; doing learning <em>properly</em> is a competitive advantage in natural selection. </p>

<p>So there is evolutionary pressure to do it this way - it should be expected that all animals, including us, would have evolved some biological way to adjust their learning so that it slows down with age. Animals would experiment and learn during adolescence, and afterwards mostly stick to the already formed habits. Changing neuronal plasticity is one way to implement this, there may be others. </p>

<p>Of course, it may be that it's no longer optimal given the radical change in our lifespan - if you live twice longer, then it'd be useful to learn twice longer as well - but it's originally implemented because it is (was?) actually an advantage to have it that way. </p>

CC BY-SA 4.0
2019-01-30T21:05:41.817Z
I don't fully understand your answer. It doesn't seem to give a really clear explanation of what happens.Do you think that in our evolutionary history, there was the rare mutant human who was a bit crazy and it was an evolutionary advantage to be too old to learn to follow unreasonable requests by the crazy person like you would have if you had been raised by them. I know your answer probably contributes something because it gives an evolutionary reason unlike the other answer that gives an explanation based on how the brain works.
Timothy
CC BY-SA 3.0
2014-04-09T12:05:26.490Z
2014-04-09T12:05:26.490Z
Peteris
<p>I think that people don't get too old to learn and some people can gain an understanding of all kinds of stuff in older age. I realize that sometimes somebody has touble learning something when they're older but that does't mean older people can never learn anything. Also, sometimes somebody may claim that somebody else didn't learn because they disagree with them on how to do things. Just becase somebody doesn't agree with somebody else on how to do things doesn't always mean they don't have an understanding of the other person's way of thinking.</p>

CC BY-SA 4.0
2019-05-13T06:13:25.133Z
2020-03-16T18:06:09.243Z
2020-03-16T18:06:09.243Z
Timothy
<p>Firstly, the matter of lifestyle is probably a significant factor.  Someone who is an alcoholic their whole life and never tries or learns new things is going to have a different outcome that somebody who is still learning new things and exercising and eating healthy.</p>

<p>That being said, lifestyles equal, there's at least two factors in age-associated reduction in memory and learning.  Firstly, just like hips and shoulders start falling apart, <a href="http://www.sciencedirect.com/science/article/pii/S0197458088801179" rel="nofollow">so does the brain</a> (characterized by morphological abnormalities and synapse loss).  Organisms are very complex machines and lots of the equipment is gradually failing throughout our life.  Dementia is a typical result of age-induced wear and tear on the brain.</p>

<p>The other is reduced plasticity.  We start off with a very plastic brain, which allows us to learn our environment.  However, part of the process of learning is to stabilize our learning circuits so that they can't be changed again (i.e. you want memories to stay as robust as possible).  Our whole brain goes through series of this stabilization.  At 4-5 years, pruning removes "unused circuitry", greatly reducing plasticity.  In the early 20's, our frontal lobes finalize and myelinate (and this is thought by some to pertain to why people start practicing better judgment at this point).  </p>

CC BY-SA 3.0
2014-04-08T23:43:47.447Z
I'm sure environment plays a significant role, but the biological role is well documented.
Keegan Keplinger
CC BY-SA 3.0
2014-04-09T11:58:52.870Z
Who do you think it is underestimated by?  Society in general or researchers?  I would argue that most people studying behavior account for it.  The general method for teasing environmental from genetic traits is monozygotic twin studies.  [Here](http://www.sciencedirect.com/science/article/pii/S030105110200056X) is one such study, [Here](http://www.sciencedirect.com/science/article/pii/S1552526008028380) is another, and [Here](http://www.sciencedirect.com/science/article/pii/S0166432811003330) is a review on the "use it or lose it" perspective.
Keegan Keplinger
CC BY-SA 3.0
2014-04-06T19:25:49.377Z
2014-04-08T23:46:07.633Z
2014-04-08T23:46:07.633Z
Keegan Keplinger
<p>This may be a stereotype, but many of us encounter a lot of people who insist that they can't learn a new technology because they're too old. Some of these people can be brilliant learners in their youth - doctors, lawyers, prominent businessmen, academics. It's so common that one benchmark of good web design is whether the 'average grandma' can use it.</p>

<p>A part of this might be from the formation of habits - someone who's used to reading the newspaper for 50 years would have trouble replacing that with online news. Another possibility is that they may feel that they have limited years to live and don't want to spend their limited time learning a new skill, or that they would have a poor ROI on these skills.</p>

<p>But do they actually have more difficulty learning from a physical perspective or is it just psychological?</p>

CC BY-SA 4.0
2020-03-15T01:22:25.043Z
I think the theory of becoming too old to learn is completely wrong. We can learn to gain an understanding of all kinds of stuff when we're older. We don't so strongly supress all connections irrelevant to the way we want to run our lives. Rather, we use a slow advanced method of debating what we think is true.
Timothy
<learning><aging>
Why do people get "too old to learn"?
Muz
# Why do people get "too old to learn"?

(Asked by: username_0 on 2014-04-06)

This may be a stereotype, but many of us encounter a lot of people who insist that they can't learn a new technology because they're too old. Some of these people can be brilliant learners in their youth - doctors, lawyers, prominent businessmen, academics. It's so common that one benchmark of good web design is whether the 'average grandma' can use it.

A part of this might be from the formation of habits - someone who's used to reading the newspaper for 50 years would have trouble replacing that with online news. Another possibility is that they may feel that they have limited years to live and don't want to spend their limited time learning a new skill, or that they would have a poor ROI on these skills.

But do they actually have more difficulty learning from a physical perspective or is it just psychological?

**Tags:** learning, aging

> **Comments:**
> **username_1**: I think the theory of becoming too old to learn is completely wrong. We can learn to gain an understanding of all kinds of stuff when we're older. We don't so strongly supress all connections irrelevant to the way we want to run our lives. Rather, we use a slow advanced method of debating what we think is true.  

---

## 3 answers

### Answer by username_3 on 2014-04-06. Score: 6 | Accepted answer

Firstly, the matter of lifestyle is probably a significant factor. Someone who is an alcoholic their whole life and never tries or learns new things is going to have a different outcome that somebody who is still learning new things and exercising and eating healthy.

That being said, lifestyles equal, there's at least two factors in age-associated reduction in memory and learning. Firstly, just like hips and shoulders start falling apart, [so does the brain](http://www.sciencedirect.com/science/article/pii/S0197458088801179) (characterized by morphological abnormalities and synapse loss). Organisms are very complex machines and lots of the equipment is gradually failing throughout our life. Dementia is a typical result of age-induced wear and tear on the brain.

The other is reduced plasticity. We start off with a very plastic brain, which allows us to learn our environment. However, part of the process of learning is to stabilize our learning circuits so that they can't be changed again (i.e. you want memories to stay as robust as possible). Our whole brain goes through series of this stabilization. At 4-5 years, pruning removes "unused circuitry", greatly reducing plasticity. In the early 20's, our frontal lobes finalize and myelinate (and this is thought by some to pertain to why people start practicing better judgment at this point).

> **Comments:**
> **username_3**: I'm sure environment plays a significant role, but the biological role is well documented.  
> **username_3**: Who do you think it is underestimated by?  Society in general or researchers?  I would argue that most people studying behavior account for it.  The general method for teasing environmental from genetic traits is monozygotic twin studies.  [Here](http://www.sciencedirect.com/science/article/pii/S030105110200056X) is one such study, [Here](http://www.sciencedirect.com/science/article/pii/S1552526008028380) is another, and [Here](http://www.sciencedirect.com/science/article/pii/S0166432811003330) is a review on the "use it or lose it" perspective.  

---

### Answer by username_2 on 2014-04-09. Score: 3

## It's better that way

Disregarding *how* this is implemented biologically, the answer to *why* is because it provides optimal results.

In learning systems where you are able to freely adjust the ability to learn - e.g., AI research 'reinforcement learning' paradigm, there is a tradeoff commonly called Exploration vs Exploitation - i.e., should the agent focus on gaining new experiences by trying out new solutions that might be worse or better (but you don't know), or should it do things in the way that it believes to be best, and ignore the other options. Quite intuitively, you do get the best results by focusing on exploration early-on when you have little knowledge, and avoiding exploration after you have 'sufficient' amount of experience.

Similarly, in learning systems which "passively" receive new knowledge, there is a balance decision - how much should you alter your beliefs after seeing new evidence. If a two year old kid saw a flying man, it'd make sense to believe that men could fly - after all, two year olds see radically new phenomena almost every day, and it is useful to adjust their beliefs to note "ok, X is working that way, and Y always happens before Z" - even if they'd just seen it a single time. However, if a sixty year old saw a flying man, it'd instead make sense to look for wires and a movie camera crew. Similarly, in machine learning systems it is optimal to slow down belief adjustment(=learning) with time - as you've accumulated a larger baggage of earlier evidence, the newer evidence is comparatively much less important.

Now, going back to people - as per the above examples, in any learning system, you get the best results by slowing down your learning rate with time. Learning is a very useful capability for survival&reproduction doing learning *properly* is a competitive advantage in natural selection.

So there is evolutionary pressure to do it this way - it should be expected that all animals, including us, would have evolved some biological way to adjust their learning so that it slows down with age. Animals would experiment and learn during adolescence, and afterwards mostly stick to the already formed habits. Changing neuronal plasticity is one way to implement this, there may be others.

Of course, it may be that it's no longer optimal given the radical change in our lifespan - if you live twice longer, then it'd be useful to learn twice longer as well - but it's originally implemented because it is (was?) actually an advantage to have it that way.

> **Comments:**
> **username_1**: I don't fully understand your answer. It doesn't seem to give a really clear explanation of what happens.Do you think that in our evolutionary history, there was the rare mutant human who was a bit crazy and it was an evolutionary advantage to be too old to learn to follow unreasonable requests by the crazy person like you would have if you had been raised by them. I know your answer probably contributes something because it gives an evolutionary reason unlike the other answer that gives an explanation based on how the brain works.  

---

### Answer by username_1 on 2019-05-13. Score: 1

I think that people don't get too old to learn and some people can gain an understanding of all kinds of stuff in older age. I realize that sometimes somebody has touble learning something when they're older but that does't mean older people can never learn anything. Also, sometimes somebody may claim that somebody else didn't learn because they disagree with them on how to do things. Just becase somebody doesn't agree with somebody else on how to do things doesn't always mean they don't have an understanding of the other person's way of thinking.


---

