lecture 8 - concepts and categories Flashcards
Language
Meaning influenced by:
- Semantics –meanings of words
- Syntax – themes (who, what, to whom)
Pragmatics – influence of context
Categories and Concepts
Categories exist in real world
Concept is your representation of a category
People can have different conceptual representations of the same category
Why are concepts important?
Concepts allow us to make predictions about unseen properties in the world and draw inferences about other properties of the concept without experiencing them directly
- Concepts allow us to make predictions
- Concepts allow for cognitive economy
If did not have conceptual representation would have to remember every single example of everything you have seen – takes up a lot of memory
Concept – summary representation
Concepts allow communication - We can communicate if we know some has some conceptual representation of us
Basic level categories
- Spontaneous naming
- Large number of unique features
- features common to the exemplars in the category but not to exemplars from other categories
- Acquired first
- Recognised most rapidly
How do we represent categories?
Defining attributes
Bachelor {male, adult, unmarried}
Attributes are individually necessary & collectively sufficient for category membership
Classify things according to sets of rules
Support for DA
- Collins and Quillian’s hierarchical model(from the reading)
Intuition. Everything has rules, right? That allows you to put things into categories
Problems for defining attributes
- Definitions can be impossible to find
- Some features are not necessary eg not all chairs have 4 legs
Features not sufficient - to classify something as a chair
Problems for defining attributes
- Some instances more typical than others
Rosch (1973)
Ratings
How good is a car as an example of a vehicle?
How good is a surfboard as an example of a vehicle?
Sentence verification
“A robin is a bird”
faster than
“An ostrich is a bird”
Differences even though car / surfboard both possess all defining attributes
Asked people how good is a car as an example of a vehicle – say good
Then a surfboard – people say no
There is variation on goodness of exemplars for categories – some are more typical than others
Same results with response times in sentence verification – atypical example takes more time to classify even though have same DA – why is one more typical
problems for DA - boundaries between concepts can be fuzzy
McCloskey & Glucksberg (1978)
Is a stroke a disease?
(30 participants)
Yes – 16
No – 14
1 month later, 11 had changed their minds
Even within an individual, instances can fit into more than one category
Prototype Theory
- E.g. Rosch (1973, 1975)
- Concept represented by a single instance, the prototype
Prototype has all of the characteristic attributes of category
attributes of category
/ has wings
prototype bird - flies
\ lays eggs
categorisation based on similarity to prototype
Not defining but characteristic
Closer to prototype more typical example of category
Problems for Prototype Theory
- Category is represented with only a single example
- Throws away information about relations between attributes
e.g. small birds more likely to sing than large ones
Also…
rips 1989
Demonstrated variability issue
Presented people with a categorization choice – given two objects eg pizza and a coin – told something this size here is equal size between both the objects – so if. caegorise new object on size alone it would be split 50/50 between the two – if asked is it more likely to be pizza or coin – people more likely said pizza – hard for prototype theory to explain
Exemplar Theory
- E.g. Medin & Shaffer (1978)
- Concept = set of all known instances of that category
Prototype Theory
“bird” = prototype bird
Exemplar Theory
“bird” = {robin, eagle, penguin, duck…} - Categorization based on similarity to exemplars
When categoristaiing new objects look at sum of instnaces seen before in categeory if simailr enough in category
exemplar theory
Because we’re not averaging down to a single prototype representation, exemplar theory doesn’t throw away as much info as prototype theory. So it keeps information on relations between attributes – it’ll tend to be all the small bird exemplars that sing, while the larger ones don’t . How about the pizza problem?
New objcets compared to all exemplars seen in past – sum of similarity determines if in category
Exemplar theory popular – as can keep knowledge of varaiability within the category
Exemplar theory explains choice of pizza – as pizzas have variable size whereas coins are same size have no variability
It retains catehroy variability info but prototype theory doesn’t
Problems for similarity theories
Similarity theories = prototype & exemplar
- Concept combination
Is a “pet fish” similar to pets or to fish?
Problems for similarity theories
Similarity theories = prototype & exemplar - Concept combination
Is a “pet fish” similar to pets or to fish? - Ad hoc categories
e.g. Things to save if your house caught fire
Things to take on a camping trip
Don’t know how to combine categories in exemplar theory
Ad hoc categories – categories defined with respect to a goal – created on the spot – hard to use similarity to group those objects together
Problems for similarity theories
* Categorization not always on basis of perceived similarity
Tadpole more similar to fish than frog – but in frog category – categorisation not done on perceived similarity
Explanation-based Theory
- AKA Theory theory (Murphy & Medin, 1985)
- Concepts contain knowledge of relations between attributes and items
e.g. light bones, feathers, wings à flight
Theory of how features go together
Explanation-based Theory
* AKA Theory theory (Murphy & Medin, 1985)
* Concepts contain knowledge of relations between attributes and items
Explains tadpole example – we have a theory or explanation of how these things might be related, so we put them together.
And pizza example – we have a theory that coins must all be the same size, but pizzas needn’t be.
Also explains conceptual combination – theory about how word
Problems with Explanations
- What is an “explanation” / “theory” ?
- Assumes unconstrained knowledge
Could call almost anything knowledge or a theory
Concepts
- Based on attributes and relations
- Theories of conceptual knowledge
- Definitions
- Prototype
- Exemplar
- Explanations / theories
No one really belives defining attributes theory anymore – data doenst support
Not sure which of other 3 is best description
If things are difficult to categorise
it is hard to find an appropriate concept for it
Concepts, categories and words
‘concept’ has different senses.
psychological or philosophical sense
Concepts are general ideas formed in the mind. General = concepts apply to every one of a class of things (usually described as a category).
raises two issues
1 - concepts are related to categories. Talk of concepts normally presupposes the existence of a corresponding category. - Brentano argued that a mental state has two components - a mental act, internal to the mind, and a mental content (the thing the mental act is about) that is external to the mind. Concepts also have this dual aspect. Although concepts are internal to the mind, the categories that concepts are about are external.
Researchers say the word ‘concept’ refers to something in the mind and ‘category’ refers to those things in the world that a concept is about.
2- concepts and categories are linked to words. Ambiguous words link to more than one concept. - Most words are polysemous - have many distinct but closely related senses eg ‘cats’ refers to the category of domestic cats, big cats and felines.
Concepts, unlike words don’t have multiple senses, since they are general ideas about particular categories.
categorisation
bruner et al 1956
concepts are at work whenever people show similarities in behaviour toward different objects in the same category and whenever they show differences in behaviour toward objects in different categories.
- Categorisation could be more broadly construed, however, Potter and Wetherell (1987) and Edwards and Potter (1992) show how attention to natural discourse reveals may subtleties in how people choose which category words to use, and how they then use them in particular contexts.
- This ‘discursive’ approach can show how categorisation is affected by social influences, such as the social status of the people discoursing, and how using category words serves broader goals than merely that of reporting one’s beliefs about category membership. This reveals important dimensions to our categorisation behaviour, but its wrong to overplay the significance of such influences.
- Its because categorisation behaviour is systematic that people have posited the existence of stable concepts.
Cognitive psychologists focus on the categorisation process in general
- Categorisation does not need to be closely tied to language.
Many researchers attribute concepts to non-linguistic animals. Sappington and Goldman (1994) investigated the abilities of arabian horses to learn to discriminate patterns. They claimed the horses learned to discriminate triangles from other shapes had actually acquired a concept - in this case, the concept of ‘triangularity’ - as opposed to merely having learned the particular triangular patterns to which they had been exposed. We are looking at the nature of human concepts.
1997; Fodor 1998).
Judgements of category membership are the principal of categorisation - psychologists use techniques to elicit these.
One method = sorting task (Coxon 1999). Ptps are shown an array of different items asked to sort them into groups. Ross and Murphy (1999) used this technique to examine how people categorise foods. They found that sometimes people put eggs in the same group as bacon and cereal (eg a category of breakfast foods) whereas at other times they put eggs together with butter and milk (suggesting a category of dairy products). The groups into which items are categorised are taken to reflect corresponding concepts. The fact that eggs are sometimes put into different groups is consistent with Barsalou’s (1983) findings that categorisation can depend on peoples goals or purposes eg when asked to say what falls into the category ‘things to take with in case of fire’ people would mention items that would not be normally found in the same category eg loved ones, pets and family heirlooms.
the wider story of concepts
Concepts are implicated in so much of our behaviour, their role often goes unnoticed - Eco (1999) has the example of a platypus. In 1798 a stuffed platypus was sent to the british museum. It was considered so strange at first it was thought to be a hoax with its beak artificially grafted onto its body. For the next 80 yrs the question of how the platypus should be categorised was hotly debated. In 1884 it was declared to be a type of mammal called a monotreme which both lays eggs and suckles its young and this categorisation has stuck. Shows categorisation can be a complex process.
- This case of scientific ‘discovery’ reminds us that all of our concepts have a past, even basic concepts.
Everyday categorisations seem effortless and routine, but it took the best scientific minds nearly 90 years to decide how the platypus should be categorised.
concepts and cognition
- Semantic classification is what concepts are for. So the use of concepts to classify can be viewed as a further kind of recognition.
Concepts can also be seen as the basic units of semantic memory.- Elements of semantic memory such as ‘cats are animals’ express relationships between concepts.
- It is thought that some concepts, called lexical concepts ( i.e concepts for which there is a single word), represent our understandings of the meanings of words and are stored in something called the mental lexicon. The process of understanding language partly involves retrieving lexical concepts from the mental lexicon. This a complex process, there may be several lexical concepts corresponding to a single word like ‘cat’, so we would have to identify which lexical concept is most appropriate.
- Concepts also play a role in reasoning.
Concepts allow us to make inferences so they simplify the task of remembering information. Our ability to store concepts in semantic memory, together with our ability to reason and draw inferences, simplifies the task of remembering information. Here concepts, reasoning, and memory act all together
explaining categorisation
Similarity 1 - the classical view of concepts
- According to the writings of aristotle (sutcliffe 1993) things belong to categories because they possess certain properties in common. There are two aspects to this idea.
- 1 - if something is a member of a category then it must possess the properties common to the categorys members
2 - if something posseses the properties common to a categorys members then it too must be a member of the category.
possession of the common properties is necessary for category
possession of the common properties is sufficient for category membership.
classical view - necessary, sufficient conditions on category membership
concepts provide definitions of their corresponding category.
If the instance matches the concept
on each and every condition, then it falls within the category – it is a member of the category. If it fails to match on any condition, then the instance falls outside the category – it is a non-member.
- The classical view contends that the category can be defined; that there are properties that are both necessary and sufficient for membership
The classical view was supported by some early, empirical investigations (e.g. Hull, 1920; Bruner et al., 1956) that showed people categorized instances according to whether they possessed the necessary and sufficient conditions of the category.
numerous critisms - view has generally fallen into disrepute. The first criticism concerns the phenomenon known as typicality.
typicality effects
- Since the classical view contends that all members of a category must satisfy the same definition, it follows
that they should all be equally good members of that category. However, psychologists have found systematic
inequalities between category members. Rosch (1973) elicited participants’ ratings of the typicality or ‘goodness-of-exemplar’ (sometimes referred to as GOE) of particular instances of a category – a method often known as a typicality ratings method.
Rips et al. (1973) and Rosch (1975) examined the relationship between typicality and the time it takes participants to verify sentences that express categorization judgements. The method is often known as category or sentence verification. For example, the sentences might be ‘a robin is a bird’ (typical instance) and ‘a penguin is a bird’ (atypical instance). Participants were asked to respond either ‘Yes’ (meaning they thought the sentence was true) or ‘No’ (meaning they thought it was false) as quickly as possible. Th e results showed that the more typical the instance being considered, the quicker people were to verify the sentence (i.e. the sentence ‘a robin is a bird’ was verified more quickly than the sentence ‘a penguin is a bird’)
Rosch and Mervis (1975). They used a method known as property- or attribute-listing
- They asked their participants to generate lists of properties for a series of category instances, e.g. robin and penguin for the category bird. The results showed that
less typical instances shared properties with fewer category members, while more typical instances shared properties with many other instances.
- Using methods such as these, Rosch, Mervis, and others provided impressive evidence that categories have what we might think of as a rich internal structure. A definition serves to demarcate members of a category from non-members, but even things inside the category are highly structured. Both penguins and robins would satisfy the definition of a bird, but there are important systematic differences between them that are reflected in the cognitive processes governing categorization. And this seems contrary to the classical view’s suggestion that all category members must equally satisfy a category’s definition.
classical view makes strong claims about the membership of categories – membership should be all-or-none – it says nothing about their internal structure. So, the findings of rich internal structure do not show the classical view to be wrong, unless, of course, internal structure reflects category membership.
If a penguin were not only a less typical bird than a robin, but also less of a category member than a robin,
then ratings of typicality might reflect a graded notion of category membership in which categories have some clear members, some clear non-members, and a range of cases in between. Then, category membership, quite palpably, would not be all-or-none. On the other hand, if typicality does not reflect graded membership, it may be compatible with the classical view.
- However, typicality effects do
expose an inadequacy –