The MDME project uses the framework created by the MANN project. That is, MANN contains all the code and algorithms, MDME runs the MANN code with a specific set of parameters.

There are four (4) main files that you need to track before running an experiment:

• Per-simulation files
  • config.ini
  • main.py
• Batch and parameter sweep files
  • batch_sweep.ini
  • batch_sweep.py

I would suggest editing the files using a terminal editor, such as nano. You can open a file when you are in the folder by typing, for example, nano config.ini

To run a single simulation, copy the 02-lens folder with cp 02-lens 02-lens-SIMULATION_NAME. Inside the newly copied folder, change the config.ini file to the desired parameters and run python main.py

To run a batch/sweep simulation, make sure the 02-lens/config.ini contains your desired parameters, and also check the batch_sweep.ini. When the two (2) files are set, run python batch_sweep.py

Using the Multi-Agent Neural-Network Simulation Visualizer

Setting up and downloading packages

Log into snowmane and install the following R packages:

`install.packages(c('shiny', 'ggplot2', 'scales', 'foreach', 'doParallel', 'knitr', 'magrittr'))`

Running the Shiny Application

Log into snowmane (note the added options to indicate a port number):

`ssh -L 8777:localhost:8777 id@snowmane.vbi.vt.edu`

Navigate to the shiny application folder:

`cd /home/sdal/mann/data/git/multidisciplinary-diffusion-model-experiments/src/R/shiny`

Run the application:

`R --slave --no-restore -e 'shiny::runApp(".", port=8777)'`

open up a browser and go to localhost:8777

If you want to load the app multiple times, you can. Just make a new ssh connection to snowmane and change the port number you are using