Metadata-Version: 2.1
Name: pywellbeing
Version: 0.0.1
Summary: Computational models of human happiness, wellbeing, and motivation.
Home-page: https://github.com/pythoro/pywellbeing.git
Download-URL: https://github.com/pythoro/pywellbeing/archive/v0.0.1.zip
Author: Reuben Rusk
Author-email: pythoro@mindquip.com
Project-URL: Documentation, https://github.com/pythoro/pywellbeing.git
Project-URL: Source, https://github.com/pythoro/pywellbeing.git
Project-URL: Tracker, https://github.com/pythoro/pywellbeing/issues
Keywords: WELLBEING,HAPPINESS,COMPUTATIONAL MODEL,ADAPTIVE MOTIVATION,MOTIVATION
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
License-File: LICENSE

# pywellbeing

This package is about computational models of human wellbeing. It currently
contains the Adaptive Motivation Model (AMM).


## AMM demo

This demo recreates many of the figures in the original paper by Rusk (2022).

```python

import pywellbeing as pywb
pop = pywb.examples.run_amm()

```

