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Single Idea 11132

[filed under theme 18. Thought / D. Concepts / 4. Structure of Concepts / d. Concepts as prototypes ]

Full Idea

In the prototype theory of concepts, a lexical concept has probabilistic structure in that something falls under it if it satisfies a sufficient number of properties encoded by the constituents. It originates in Wittgenstein's 'family resemblance'.

Gist of Idea

The prototype theory is probabilistic, picking something out if it has sufficient of the properties

Source

E Margolis/S Laurence (Concepts [2009], 2.2)

Book Ref

'Stanford Online Encyclopaedia of Philosophy', ed/tr. Stanford University [plato.stanford.edu], p.8


A Reaction

It would seem unlikely to be a matter of the 'number' of properties, and would have to involve some notion of what was essential to the prototype.

Related Idea

Idea 4141 Various games have a 'family resemblance', as their similarities overlap and criss-cross [Wittgenstein]


The 22 ideas with the same theme [concepts as built around typical examples of things]:

Many concepts lack prototypes, and complex prototypes aren't built from simple ones [Fodor]
Maybe stereotypes are a stage in concept acquisition (rather than a by-product) [Fodor]
One stereotype might be a paradigm for two difference concepts [Fodor]
Categories are characterized by distance from a prototype [Gelman]
There is no 'ideal' bird or dog, and prototypes give no information about variability [Murphy]
Prototypes are unified representations of the entire category (rather than of members) [Murphy]
The prototype theory uses observed features, but can't include their construction [Murphy]
The prototype theory handles hierarchical categories and combinations of concepts well [Murphy]
Prototypes theory of concepts is best, as a full description with weighted typical features [Murphy]
Learning concepts is forming prototypes with a knowledge structure [Murphy]
The prototype theory is probabilistic, picking something out if it has sufficient of the properties [Margolis/Laurence]
Prototype theory categorises by computing the number of shared constituents [Margolis/Laurence]
People don't just categorise by apparent similarities [Margolis/Laurence]
Complex concepts have emergent properties not in the ingredient prototypes [Margolis/Laurence]
Many complex concepts obviously have no prototype [Margolis/Laurence]
Knowing typical properties of things is especially useful in induction [Machery]
The term 'prototype' is used for both typical category members, and the representation [Machery]
Prototype theories are based on computation of similarities with the prototype [Machery]
Prototype theorists don't tell us how we select the appropriate prototype [Machery]
Maybe concepts are not the typical properties, but the ideal properties [Machery]
It is more efficient to remember the prototype, than repeatedly create it from exemplars [Machery]
The prototype view predicts that typical members are easier to categorise [Machery]