Overview

While we’re generally focused in this class on making GUIs for artificial life software, sometimes you’ll also want to collect data more efficiently with your projects. Today’s focus will be on using Empirical’s data monitoring tools to output data into files in the “native” version of software (i.e. without the GUI).

Basic Learning Objectives

Before class you should be able to:

  • Explain what Empirical’s DataNode and DataMonitor do
  • List the types of summary statistics that Empirical provides tools to record

Advanced Learning Objectives

After class, you should be able to:

  • Using Empirical’s data collection tools to record data to files in your own project

Resources

Read my Empirical Data Recording Intro.

Checks

Submit answers to the following through Moodle:

  • What is the difference between a DataNode and a DataMonitor?
  • What is one summary statistic that Empirical provides tools for collecting?