artificial-life-teaching-materials

This repository is for lecture slides, exercises, assessments, exam questions for teachers and students of Artificial Life. All contents of this repository are UNLICENSED -- they are available to be used for essentially any purpose as described in the LICENSE.md file.

The structure of the repo is expected to adapt over time, but we will start with the following simple structure:

collections contains materials for running entire courses. So far, these include a set of lecture slides. In the future, we may try to separate out the lecture slides from the labwork/practical exercises.

exercises contains exercises that can be used for experience-based learning (and in some cases assessment).

Other websites and git-hub repositories

Listed below are links to other websites, repositories etc., that you may find useful when teaching ALIFE related topics.

• https://github.com/IsaacLab/LaboratorioIntangible Materials from a Summer School Workshop on Cognition. Contains Python and Processing projects on emergence, self-organization, evolution, criticality, and network dynamics. Instructions are in Spanish.

• http://mypage.iu.edu/~rdbeer/#software Randy Beer's relased software, including a C++ implementation of Continuous-Time Recurrent Neural Networks (CTRNN) and an evolutionary algorithm (TSearch)

instructions

When adding new materials, please include a README.md at the base of the newly added folder. For instance, there should be one at /collections/dipaolo-adaptive-systems/README.md