A Python package for extracting the Computational Image of the City from geospatial datasets

Python implementation of the Linear Reinforcement Learning model introduced by Piray and Daw (2021)

Cognitive map for predicting univariate time-series using ADAM optimization. Coded from scratch without any help of machine learning libraries.

A toolset for evaluating the results and impacts of an educational event, employing cognitive maps as a model for representing cognitive structures or knowledge.

Open-source code repository where reinforcement learning agents solve grid-maze environment and represent learning process as a graph learning.

Cognitive maps as excel files

Documentation for the Python cityImage package