<p>I've found an additional concept that may be related to the original question: <a href="http://en.wikipedia.org/wiki/Prototype_theory" rel="nofollow">prototype theory</a>. Here's a summary from Wikipedia:</p>

<blockquote>
  <p>Prototype theory is a mode of graded categorization in cognitive science, where some members of a category are more central than others. For example, when asked to give an example of the concept furniture, chair is more frequently cited than, say, stool. Prototype theory has also been applied in linguistics, as part of the mapping from phonological structure to semantics.</p>
</blockquote>

<p>According to this theory, <strong>rather than a common ancestor for words, there's a common shared category</strong>, which can be thought as a parent object. A potato and a fist sized  rock would share the rounded object category, but the rock would also have a "rocky texture" category</p>

CC BY-SA 3.0
2014-02-15T21:22:42.343Z
2014-02-16T21:39:12.597Z
2014-02-16T21:39:12.597Z
Alex Stone
<p>According to current models of human concept learning, the answer to your question is <strong>both</strong>. </p>

<p>Think of a simplified domain in which every object consists of only several features, and therefore can be visualized as a point in some multidimensional feature space. For example, the features that define objects might be its size, shape, color, and weight. Furthermore imagine that objects tend to be clustered throughout this space according to what category they belong to, because members of the same category are generated by the same natural process. </p>

<p>So based on current models, a novel stimulus is compared to existing concepts and is either placed into the concept (cluster) that it's closest to, or if it's insufficiently close to any existing concept, then a new concept will be created. This is the basic idea of current Bayesian theories such as the <a href="http://csjarchive.cogsci.rpi.edu/Proceedings/2006/docs/p726.pdf">Rational Model</a>, which treats human category learning as a problem of probability density estimation, and its contenders such as  <a href="http://homepage.psy.utexas.edu/homepage/group/LoveLAB/love/classes/cogsci/love2.pdf">SUSTAIN</a>. </p>

<p><a href="http://videolectures.net/nips2010_tenenbaum_hgm/">Here's a video lecture by Josh Tenenbaum</a>, a leading researcher in both machine learning and cognitive science, in which he gives an excellent introduction to a number of these issues and many more.</p>

CC BY-SA 3.0
2012-12-01T19:12:16.453Z
2012-12-04T12:50:36.643Z
2012-12-04T12:50:36.643Z
jerad
<p><strong>I'm trying to understand how the idea of what a thing is originates in humans.</strong></p>

<p>For example, in computer science, it is possible to know what an object is and what it does, by examining its "parent/ancestor" objects with concepts of <a href="http://en.wikipedia.org/wiki/Inheritance_%28computer_science%29">inheritance</a>:</p>

<blockquote>
  <p>In object-oriented programming (OOP), inheritance is a way to reuse
  code of existing objects, or to <strong>establish a subtype from an existing
  object</strong></p>
</blockquote>

<p>and <a href="http://en.wikipedia.org/wiki/Polymorphism_in_object-oriented_programming">polymorphism</a>, where objects may share similar function:</p>

<blockquote>
  <p>Subtype polymorphism, often referred to as simply polymorphism in the
  context of object-oriented programming, is the ability to create a
  variable, a function, or <strong>an object that has more than one form</strong>. In
  principle, polymorphism can arise in other computing contexts and
  shares important similarities with the concept of <a href="http://en.wikipedia.org/wiki/Degeneracy_%28biology%29">degeneracy</a> in
  biology</p>
</blockquote>

<p>What makes me interested in this is that human children do not learn all words at once - there's a slow, but steady exposure to new stimuli, which are quantified, remembered and become available as concepts and words. The exact order of exposure is unknown, but if I remember correctly, most people know about 20000 words, and use about 6000 in daily interactions. </p>

<p>For example, a child has never seen a potato. A child sees a potato for the first time.  A child has neither an idea nor a word for a potato. Now the child's brain has to create an idea of what a potato is.</p>

<p><strong>The question</strong>: When a child is exposed to a new stimuli, as in the example above, does the child's brain:</p>

<ol>
<li>create a brand new representation of an object</li>
<li>or does a person's brain modify and re-purpose the "closest matching"
idea and add extra attributes to it? (a potato looks like a brown rock)</li>
</ol>

<p>In other words, has there been any research that found evidence for case 2: a <strong>"common ancestor" for ideas and objects within a person's mind?</strong> (if a person forgets "rock", then the person also forgets "potato").</p>

<p>I don't know where to begin a search for the answer. Are there some keywords that I can use? Maybe scholarly articles on cases of unusually high working memory capacity for related objects?</p>

CC BY-SA 3.0
2012-12-02T08:56:44.900Z
I think that this question is a very compelling one, mainly from a philisophical standpoint and would like to direct you to [this piece by David Deutsch](http://www.aeonmagazine.com/being-human/david-deutsch-artificial-intelligence/) about Artificial Intelligence, and the human mind. It's a bit lengthy, but it's good food for thought.
Alaric
CC BY-SA 3.0
2014-02-16T18:11:39.927Z
You may enjoy Grossberg 1999 [The Link between Brain Learning, Attention, and Consciousness](http://www.cns.bu.edu/Profiles/Grossberg/Gro1999ConCog.pdf). He presents a model for how and when [sensory only?] information becomes available to one's consciousness. One possible conclusion from his model (which I am told has undergone significant modifications) is that for a while, the learning process is _subconscious_.
labreuer
<neuroscience><learning><memory><language><perceptual-learning>
How does the brain learn what something is for the first time?
Alex Stone
# How does the brain learn what something is for the first time?

(Asked by: username_0 on 2012-11-30)

**I'm trying to understand how the idea of what a thing is originates in humans.**

For example, in computer science, it is possible to know what an object is and what it does, by examining its "parent/ancestor" objects with concepts of [inheritance](http://en.wikipedia.org/wiki/Inheritance_%28computer_science%29):

> In object-oriented programming (OOP), inheritance is a way to reuse
> code of existing objects, or to **establish a subtype from an existing
> object**

and [polymorphism](http://en.wikipedia.org/wiki/Polymorphism_in_object-oriented_programming), where objects may share similar function:

> Subtype polymorphism, often referred to as simply polymorphism in the
> context of object-oriented programming, is the ability to create a
> variable, a function, or **an object that has more than one form**. In
> principle, polymorphism can arise in other computing contexts and
> shares important similarities with the concept of [degeneracy](http://en.wikipedia.org/wiki/Degeneracy_%28biology%29) in
> biology

What makes me interested in this is that human children do not learn all words at once - there's a slow, but steady exposure to new stimuli, which are quantified, remembered and become available as concepts and words. The exact order of exposure is unknown, but if I remember correctly, most people know about 20000 words, and use about 6000 in daily interactions.

For example, a child has never seen a potato. A child sees a potato for the first time. A child has neither an idea nor a word for a potato. Now the child's brain has to create an idea of what a potato is.

**The question**: When a child is exposed to a new stimuli, as in the example above, does the child's brain:

1. create a brand new representation of an object
2. or does a person's brain modify and re-purpose the "closest matching"
   idea and add extra attributes to it? (a potato looks like a brown rock)

In other words, has there been any research that found evidence for case 2: a **"common ancestor" for ideas and objects within a person's mind?** (if a person forgets "rock", then the person also forgets "potato").

I don't know where to begin a search for the answer. Are there some keywords that I can use? Maybe scholarly articles on cases of unusually high working memory capacity for related objects?

**Tags:** neuroscience, learning, memory, language, perceptual-learning

> **Comments:**
> **username_1**: I think that this question is a very compelling one, mainly from a philisophical standpoint and would like to direct you to [this piece by David Deutsch](http://www.aeonmagazine.com/being-human/david-deutsch-artificial-intelligence/) about Artificial Intelligence, and the human mind. It's a bit lengthy, but it's good food for thought.  
> **username_2**: You may enjoy Grossberg 1999 [The Link between Brain Learning, Attention, and Consciousness](http://www.cns.bu.edu/Profiles/Grossberg/Gro1999ConCog.pdf). He presents a model for how and when [sensory only?] information becomes available to one's consciousness. One possible conclusion from his model (which I am told has undergone significant modifications) is that for a while, the learning process is _subconscious_.  

---

## 2 answers

### Answer by username_3 on 2012-12-01. Score: 13 | Accepted answer

According to current models of human concept learning, the answer to your question is **both**.

Think of a simplified domain in which every object consists of only several features, and therefore can be visualized as a point in some multidimensional feature space. For example, the features that define objects might be its size, shape, color, and weight. Furthermore imagine that objects tend to be clustered throughout this space according to what category they belong to, because members of the same category are generated by the same natural process.

So based on current models, a novel stimulus is compared to existing concepts and is either placed into the concept (cluster) that it's closest to, or if it's insufficiently close to any existing concept, then a new concept will be created. This is the basic idea of current Bayesian theories such as the [Rational Model](http://csjarchive.cogsci.rpi.edu/Proceedings/2006/docs/p726.pdf), which treats human category learning as a problem of probability density estimation, and its contenders such as [SUSTAIN](http://homepage.psy.utexas.edu/homepage/group/LoveLAB/love/classes/cogsci/love2.pdf).

[Here's a video lecture by Josh Tenenbaum](http://videolectures.net/nips2010_tenenbaum_hgm/), a leading researcher in both machine learning and cognitive science, in which he gives an excellent introduction to a number of these issues and many more.


---

### Answer by username_0 on 2014-02-15. Score: 2

I've found an additional concept that may be related to the original question: [prototype theory](http://en.wikipedia.org/wiki/Prototype_theory). Here's a summary from Wikipedia:

> Prototype theory is a mode of graded categorization in cognitive science, where some members of a category are more central than others. For example, when asked to give an example of the concept furniture, chair is more frequently cited than, say, stool. Prototype theory has also been applied in linguistics, as part of the mapping from phonological structure to semantics.

According to this theory, **rather than a common ancestor for words, there's a common shared category**, which can be thought as a parent object. A potato and a fist sized rock would share the rounded object category, but the rock would also have a "rocky texture" category


---

