Skip to end of metadata
Go to start of metadata

Petrus, Kashyap,, Pedram, Fabio, Katja, Carlos, Homayun, Zeinab, Aurelién, Sami.

Goals

Discussion items

TimeItemWhoNotes
20 minActive teachingCarlos and Aurelién

Having an active teacher that has a cognitive model of the user. The target is to minimize the number of iterations needed to learn a kanji by optimizing the order of presentation of teaching materials.

We need to have a cognitive model connected to a teacher model connected to a human that provides observational data.

There are different models that can be used for the cognitive model. ANN is a popular model for modelling the memory. The input of the network is a binary ID of the kanji at the moment but it may be better to have a better feature representation there (next steps).

Simulated expected results were promising.

20 minModelling for modelling made easyPedram

presented the modelling ideas for modelling made easy. The main focus of the presentation was about how to generate models. Two directions was proposed: 1) just consider a flexible model with many model-likelihoods attached to it. Domain knowledge affects this model through observations of this model-likelihoods. 2) define a set of model components (e.g., Gaussian or half-Gaussian distribution assumptions for weight) and then search in space of applying these components to a linear regression model.

The first solution is easier to implement and does not require Stan but it also has a focus application of linear regression while the second one can later be generalized to other probabilistic models.

Action items

  • Next week: No one volunteered. Pedram will send an email next week to see if anyone is interested.

Write a comment…