- Date de réalisation : 20 Mai 2021
- Durée du programme : 60 min
- Classification Dewey : Linguistique
- Langue : Anglais
- Mots-clés : sémantique
- Conditions d’utilisation / Copyright : Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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Modelling Memory with Types: semantics and neural representation
I will argue that record types in TTR (a type theory with records) can be used to model mental states such as memory or belief. For example, a type modelling a belief or memory state is a type of the way the world would be if our beliefs or memories were true. A sentence like:
Sam thinks that Kim left
is true just in case the type which is the content of "Kim left" matches the type modelling Sam's belief/memory state.
I will discuss some of the details of developing a semantics where propositions are matched against memories in this way where both propositions and memories are modelled as types in TTR. The claim that types can be used to model memory would be empty if it turns out that the types are in principle impossible to represent on a finite network of neurons. In the second part of this talk I will discuss how types might be represented in terms of neural events on a network.