Lecture 12: Concepts and Knowledge Flashcards

1
Q

Explicit vs implicit memory

A
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2
Q

What is an example of memory differences from knowledge?

A

London Taxi drivers must pass ‘the knowledge’ test of the 25,000 streets within a 10-kilometer radius of London. This means they have morre memory of the streets do tho their knowledge that they have to aqcuire prior to being a driver.

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3
Q

London taxi drivers

A
  • Taxi drivers performed better on tests of spatial memory than bus drivers
  • Taxi drivers have greater posterior (but smaller anterior) hippocampi.
  • They also tested on the bust drivers around lonndon but they don’t need the same knowledge about the spatial layout because they are always taking the same route.
  • This is why we think that the posterior part of the hippocampus is very important for spatial forms of episodic memory.
  • Posterior hippocampal volume is related to years of experience as a taxi driver. The greater the volume of the posterior hippocampus, the more years they have been driving taxis. The time you spend as a taxi driver and the size of the posterior hippocampus is positively related.
  • They are using and developing the region developing neurogenesis.
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4
Q

Highly Superior Autobiographical
Memory (HSAM)

A
  • Enhanced autobiographical memory (outstanding detail and accuracy for autobiographical memories)
  • Can remember every single day from their lives in detail

Does not involve mnemonic strategies
* HSAM people are not memory athletes
* HSAM people do not have photographic memory
* HSAM people do not remember a word list better than average. if you assess their memory with standard battery of test, they perform normally

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5
Q

Test for HSAM abilitiess

A

** Dates Quiz**
Describe June 29, 2007
* What day of week was it?
* What did you do?
* What was the weather like?

Public Events Quiz
When did these public events happen?
* When did Princess Diana die?
* What happened on June 29 2007?

	 People with HSAM are more fantasy prone.
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6
Q

Downside to a detailed memory (HSAM)

A
  • A case studied by Luria who had a perfect detailed memory
    • Recalled conversations word for word
    • Recalled detailed events from years ago
    • Could reproduce 70 digits without error
  • Problems with accessing general concept knowledge
    • E.g., recognizing items if there a slight change in detail
  • Common to have OCD tendecies because they constantly replay past events in details.
  • Difficult for them to form social networks that comes from the social part of memory. Remember things in a lot of detail but people in their social network do not so that creates problems.
  • This perfect “pathological memory interfered with his ability to hold a regular job, enjoy literature, or even seemingly to think in the abstract without being distracted by sensory association.”
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7
Q

The concept of concepts
important terms: categories, concepts and exemplars.

A

Terms
* Categories: items that are grouped together
* Concepts: general knowledge of a category (mental representation, non detailed)
* Exemplars: individual items (or members) in a category

  • Function
  • Concepts are vital to do “the right thing with the right kind of thing”
  • They are used to predict outcomes, guide behaviour and for communication
  • Helps us know how to act in certain ssituations
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8
Q

Concept organization

A
  • The fact that you can identify/ talk about the snowy owl means that you can access or define concepts at different levels of specificity.
  • You can access cocepts at a general or specific terms.
  • Theoretical organazition of conceptual information.
  • In general, we can talk about concepts in 2D in how it is organized. One organizes concepts in 3 levels based on inclusivity.
  • General to specific hierchary:
    1. Superordinate level - presented in brod/general term to define concept.
    2. Basic - More details represention of concept.
    3. subordinate - very detailed representation of a concept.
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9
Q

Cognitive economy

A
  • A balance between simplification and differentiation. Balance between accessinng general enough information and information that can help you distinguish between things.
  • Use the simplest terms that is still meaningful for the situation
    • General public “This is an owl”
    • Birders ”This is a snowy owl”
      Make everything as simple as possible but not simpler
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10
Q

Concepts in development and disease.

A
  • Child learn basic, superordinate, then subordinate concepts
  • Semantic dementia patients can use basic level concepts (dog), becomes impaired as the disease progresses
  • Early in the disease, basic level concepts are accessed
    * A dog is a dog
  • As the disease progresses, use general concepts
    * A dog is an animal
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11
Q

A graded concept organization

A
  • Organizing concepts across a level.
  • Lets us know what a good example of a concept is. Grades how well that examplar belongs to that category. Ie: a trout might be a better example of a fish than a shark.
  • Establishing these networks all depend on how a model would suggest we learn and represent concepts.
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12
Q

Concepts about concepts. What is a concept?

A
  • Generalization is the process of deriving a concept from a specific number of experiences and applying it widely to help you label new instances. (episodic memories come together to help you form concepts and general knowledge). Develop concepts by generalizing what we see and use them to make predictions.
  • Do we follow rules, similarity or explanation to form
    generalizations?
  • Do we retrieve representations of specific past instances or
    abstracted ideas that transcend these specific experiences ?
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13
Q

The classic approach to concept learning

A
  • Concepts involve forming rules about lists features.
  • Defining features are necessary and sufficient for category membership (ie. if something is considered a dog it must have defining features. It must be alive, animate, breaters, fu, 4 legs).
  • Characteristics features are those common but not essential for category membership Ie: god has to pant or love beef layer.
  • Feature comparison between encountered items and list
    * Refines what a defining features is for a concept

Having this rule based approach becomes problematitic when we are exposed to more complicated defining features. Everytime we are exposed to complex everchanging stimuli in the world, you would have to change your rule in what you consider a defining feature in a dog or you are gonna say that they arent dogs.

  • Works well for simple concepts, not so much for:
    • Complex concepts that are subject to variability (e.g., a fur-less dog)
    • Ambiguous concepts: ‘student’; a ‘bachelor’; a ‘hot dog’
      It is often what people will try to use when they are learning a new concept.
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14
Q

The cube rule

A
  • Rule based concept approach to categorization.
  • Series of rule to define food based on where the starch is.
  • Does not cut it, for example, it would day that hot god is a taco. Or susho with rice on the bottom is a toast.
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15
Q

Concepts are represented by similarities

A
  • Concepts are note based on defined features, rather are defined by the resemblance to a collection of features
  • Wittgenstein: What is common among the concept ‘Game’?
  • There is no single attribute that defines a game rather there is a ‘family resemblance’, some inherent similarity.
  • Vey well understood by the concept of a game. It has a meaning but there is not just one single thing that we can use to define all games. Not all games are used to play sports, some gamess are played online or in the kitchen.
  • According to this theory concepts are not about a common attribute its more about family resemblance. Similaritiess between items.
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16
Q

Fuzzy boundaries

A
  • For any one category, there are really good exampless of a concept and other really not good examples of a concept.
  • Items are, more or less, part of a category
  • Concepts can have fuzzy boundaries so there is no defining features, is also what allows concepts to be dynamic.
  • An item can be categorized into more than one category. Depending on what you are focusing on.
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17
Q

Feature list vs networks

A
  • Physical object
  • Living
  • Animate
  • Feathers
  • We see that in later learning, with more refinment, we tend to see a more similarity based approach to concept learning and similarity.
  • Concepts are represented as connected nodes in a network.
  • Concepts are represented in a network based on relatedness or similarity.
18
Q

Similarity: Exemplar & prototype theory

A
  • Both of these suggest that there is no requirement of one property or set of properties to be shared by all members.
  • There is no defining feature
  • These views differ in what we hold in memory to represent a category. Exemplar model assumes that categories are represented by specific examplar. Prototypes assume that they are represented by prototypes (central tendency).
19
Q

Prototype theory

A
  • Categories are formed from the overlap of exemplars
    • These are extracted from experience
  • Each category has an abstracted prototype that is pre-stored in memory
    • This represents the most common features with other members
  • Items are included in a category network around that prototype
    • Similar items are stored closer to the prototype than dissimilar items
20
Q

First study showing prototype theory

A
  • Participants learned to classify dot patterns that
    were variants of a prototype
    • They did not see this prototype
  • Participants classified the studied patterns, new
    patterns and the prototype into groups
    • Worse at classifying new compared to old patterns
    • Equally able to classify prototype and old patterns
  • This suggeted to us that participantss did form a prototypical dot pattern in memory when they were learning all the related exemplars during this initial study phase. This is why they are able to classify that prototype and this test phase.
21
Q

Prototype theory and typicality effect

A
  • The idea of the prototype theory is that there is this central core instance of a category and then we represent other exampless of that category by the degree that is shares similarity with the prototype.
  • The prototype is an abstracted exemplar
    • Other members resemble the prototype to different degree
      • The more obscure members are farther away from the prototype in the network
  • Typicality effect
    • A preference for processing items close to the prototype
    • It has been found that we have a natural preference to process protopical items: those that are near the center rather than obscurd examples farther away.
22
Q

Typicality effect

A
  • Will take less time for someone to recognize something that is closer in similarity to the prototype.
  • When we ask them to list items (ex: types of birds), the items at the start of the list are the ones closer to the prototype. List typical items first until they have exhausted the typical items.
23
Q

Category name primes typical exemplars

A
  • Typicalty effect is also seen in priming.
  • Priming is implicit memory. How previous information affects how you process it. This happens without conscious awareness.
  • Series of word come up on the screen and then you have to press is it a word or not. Reaction time is measured.
  • They will have one category and then have a few seconds and then a word that is typical, non typical or a nonword.
  • People are faster to indicate/ make the lexical decision to the word “apple” then “papaya” or “monate” when that follows he category fruit. That is because apple is a more typical member of the category fruit so it is stored closer in a sematic network and spreading activation can happen more quickly when you have to access that concept information.
24
Q

The role of context

A
  • Prototype theory treats concepts as context independent. It says that you have a concept, it does not matter what context you are in.
  • What defines a good representation or a typical representatio of a concept changes from place to place.
  • Thus, does also not account for how a situation
    determines concept representation
  • Is this a typical musical instrument?
    * Differs if you are around a campfire or at a concert
    hall
25
Q

Conceptss affects typicality

A
  • Rate the typicality as a member of the category bird
  • Typicality is the result of both combined concept and context.
  • Typicality does not jut result from prototypical concepts but also is involved combining that with situations.
  • If people make this average typicality rating afterr seing a farm image or a city image, the same individuals will rate a chicken as a more typical member of the category bird when they see a farm image rather than a bird image.
  • This shows that context and also our experiences do shape conceptual representation. It changes what we think is most typical of a concept.
  • Prototype theory does not take the context into account.
26
Q

Exemplar Theory

A
  • There is no single abstract prototype for a concept
    • Every instance of a category that we have encountered (all the exemplars) is stored in memory, not a prototype.
    • They differ in the number of items stored in memory.
    • You define a concept by retriving some or all of the exemplars of a category.
  • To determine if a new item is member of a category:
    • Retrieve some or all exemplars of category members
    • Compute similarity to new item at the time of concept determination (at retrieval)

Explains how context can influence concept representations
* We use personal experience and situation information to form concepts at retrieval
* Can explain concept affects because it asumes that categorization pools in our personal experience.

27
Q

Exemplar theory example

A
  • Is this a dog?
  • Let me think of my dog experiences …
  • If you are to retrieve or categorize a new exemplar about your past experiences related to that concept to try to figure out if it belongs to it. Think about all your previous dog memories to this creatures and compare that patten to what I am seing in mind. You mightt get strong overlap with one examplar I have in mind and that would let you asume that it is a dog.
28
Q

Multiple forms of representations

A
  • It is likely not one theory either prototype or exemplar. We can represent concepts both as abstract prototypes and as exemplars. We have the ability to do this because sometimes we need to access concepts more abstractely and sometimes we really need to acess it in terms of specificity that we get from exemplars.
  • Prototype (yellow, red) versus exemplars (green, blue) engage
    different brain networks
  • To meet different task demands
  • Specificity task – exemplar; generalized task - prototype
  • Holding multiple representations supports flexible thought
29
Q

Knowledge-based theories

A
  • Explanation rather than similarity-based view of concept categorization
  • According to these theories people categorize objects not based on features or comparing them to some sort of stored representation in theory but rather we use knowledge or explanation to determine if certain instances will belong to a category.
  • Implicit intuitive knowledge used
    * This is a fruit because I find it fruit-like
  • Essentialism: The idea that certain categories have an underlying reality or true nature that one cannot observe
  • Focusing more on explaning how things go together and not focusing on certain features or instances.
30
Q

An embodied view of concepts

A
  • suggestss that concepts aren’t abstract representations that we store as rules, prototypes, exemplars but they are embodiments.
  • Concepts are accessed as a function of the environment
    and current goals (they change with our goals and environment).
  • What examplars belong to a concept are malleable.
  • Concepts are processed in different brain networks, and
    shift depending on what is being accessed from a concept.
31
Q

Facilitating Goals: Ad-hoc categories

A

Think as many items as possible that belong to this category:
Things that can catch on fire

  • We can define concepts differently depending on whatt we need to access or we can make up concept categories depending on our goals of retrieval.
  • A category concept that is invented for a specific purpose or goal at retrieval
  • Bringing together dissimilar members into a single temporary
    category to meet a goal (shows that you can think about things temporarily. Concept knowledge is not static.
  • Related to creativity –> ability to use concept knowlege temporarly and flexibly.
32
Q

ADHD, knowledge and creativity

A
  • Conceptual expansion, a process of thinking outside traditional conceptual boundaries. Linked to creativity.
  • Maybe having solid conceptual knowledge categories can strain creativity.
  • Concept expansion in individuals with ADHD. Deficit asociated with ihibitory control, you do not inhibit information that is relevent to a specific task.
  • Maybe that can help with creativity. If you are not inhibiting loosely connected information, maybe it will help you in making connections in more inventive ways.
  • The drawings of the people with ADHD are much more creative. Evidence that less constraint on existence conceptual knowledge does help with creativity.
33
Q

Embodiement and the brain

A
  • Knowledge is stored as sensorimotor neural representations
  • The particular representation that is accessed as a function of what sensorimotor domain is required
  • We embody are mental representations in terms of neurocognitive mental processes.
  • We mentally simulate concepts and we will acess conceptual knowledge by reinacting specific sensorimotor processing.
34
Q

Perceptual symbols system

A
  • This theory suggests that we access different features of a concept for a given task. The only way we do this is if different features or sensory concepts of a process are processsed differently.
  • Perception and concepts knowledge are linked as ‘perceptual symbols’
  • Activating a concept will engage certain sensory-perceptions
    to engage mental simulation as a function of the goals of the
    current task
  • Rejects the vue that concepts are represented abstractly.
  • We store knowledge about a particular aspects across ur senses.
35
Q

Property verification task for perceptual symbols system.

A
  • Participant are shown a context (like leaves) with a sound perception like rustling and they had to verify if that perception was part of that concept object.
  • Property verification tasks over a series of trials.
  • People are faster to respond if a previous trial asked about a feature from the same percept (there is priming over questions about the same perception but no priming when you compare it to question about different perceptions.
  • We recruit concepts based on senses/perceptions
  • When we access concepts, we access the perceptual processes of them and not abstractly.
36
Q

Brain representations

A
  • In an MRI scanner,
    participants passively read
    action words (pick, kick, lick)
  • The brain region that process
    movements associated with those words were active during passive reading.
  • When they read the words, they mapped onto the particular motorsensory processes that would be engaged if you were actually using your hand or foot or mouth.
37
Q

Neuropsychological case studies

A
  • Brain injury cases of people with category specific deficits
  • Some have selective impairment in naming living things
  • Some have selective impairment in naming non-living things
38
Q

Patient with deficit naming living thing

A

A patient with a selective deficit in naming living things (animals)
* big deficit in naming animals vs other objects.
* There is a dissociation in the brain for living things versus non living things.

39
Q

Patient with deficit naming non-living things

A
  • Patients with selective impairment in naming non-living things, shown with a picture matching task (point to the picture in a display that corresponds to a spoken word)
  • Could not name non living thing like an object but they coulf name living things.
  • type of concept that is loss will be specific to categories depending on where the damage is.
40
Q

Loss of concept depends on

A

brain damage.
* type of concept that is loss will be specific to categories depending on where the damage is.