David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira, Marcelo Matheus Gauy, Peter McBurney

This repository contains code, data and plots used in an accepted paper that will be published in the 35th AAAI Conference on Artificial Intelligence (AAAI 2021). The published paper can be found in: https://ojs.aaai.org/index.php/AAAI/article/view/17342

To compile:

$ make

You must have Go. The code was tested with go version go1.15.1 linux/amd64.

To run:

$ ./simulator <tp> <n> <times> <memory> [<threads>] [<seed>]

where <tp> is the network structure, <n> is the number of nodes, <times> is the number of times to run the experiment, <memory> is the probability of looking to current state (i.e., use 1.0 to make an experiment with no memory), <threads> is the number of threads the simulator should use, <seed> is the random seed.

Supported network structures: biclique, bintree, clique, cycle, path, torus.

See exp1.py for an example of how to use the simulator to produce some useful data. See exp1-plot.py for an example of how to plot data computed by exp1.py.

See plots/ for generated plots.