Open Source Linux Psychology Software

A tool for gathering usability feedback from web users in a low-impact manner.

NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.

This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation / automatic differentiation. You can choose to mix loss functions natively found in this package and those you provide. In such cases, you optimize over a sum of different objectives (e.g. ML + Ridge). This strategy also applies to gradients, where you may supply analytic gradients or opt for automatic differentiation or mixed analytical and automatic differentiation. You may consider using this package if you need extensibility and/or speed, and if you want to extend SEM.

The Wittgen programming language consists of just two instructions and one special variable name. Wittgen allows you to assign any text string to a variable of any name. It also allows you to retrieve the text assigned to that variable. Lastly, it has a special variable called “Doing Now”. Every execution step consists of retrieving the contents of Doing Now, removing the first assign found in that content and performing that assign. In the course of performing that assign any retrieve operations indicated in the text are performed before committing the assign. That is all there the system does. The driving motivation for this design is that as far as we know, the human mind supports these two instructions.It may have additional mechanisms that create new assigns, but using the results of these mechanisms requires a system built from these instructions.