Description

This repository contains a discrete event simulator to evaluate trust-based interactions between agents with limited memory.

Memory is represented via four buffers with fixed sizes:

1. Cryptographic
2. Trust
3. Reputation
4. Stereotypes

Different buffer eviction strategies are implemented to evaluate which produces the highest utility of information contained in those buffers.

Requirements

Install dependencies

sudo apt-get install python3 cm-super graphviz graphviz-dev

Set up a venv

python3 -m venv .venv
source .venv/bin/activate

Install Python dependencies:

python -m pip install matplotlib numpy scipy hmmlearn tqdm pygraphviz seaborn more_itertools frozenlist typing_extensions cuckoopy

or alternatively, install from requirements.txt:

python -m pip install -r requirements.txt

Running an Experiment

run.sh defines running multiple eviction strategies and agent behaviours for different sized buffers. run_multiple.py can be used to obtain a large number of repeats and run-graphics.sh can be used to obtain graph results for an individual run.

python3 run_multiple.py

To perform a run with a specific seed call run.sh or run-graphics.sh such as:

SEED=10 ./run.sh

Analysing Results

Graphing Individual Results

./analyse_individual.py create graphs for a single simulation.

./graph_individual.py <Behaviour>/<Eviction Strategy>/<buffer size>-metrics.<seed>.pickle.bz2

Combining Results

Individual results need to be combined for them to be graphed

./combine_results.py VeryGoodBehaviour/* AlwaysGoodBehaviour/* UnstableBehaviour/* GoodBehaviour/*

Graphing Combined Results

./graph_multiple.py VeryGoodBehaviour/* AlwaysGoodBehaviour/* UnstableBehaviour/* GoodBehaviour/*

Creating a graph showing space usage

Trust models with different sizes will consume different amounts of space. The following script can be used to visualise this.

./graph_space.py VeryGoodBehaviour/* AlwaysGoodBehaviour/* UnstableBehaviour/* GoodBehaviour/*

Creating graphs of buffer evolution over time

The following script can be used to visualise the evolution of buffer content over time.

mkdir -p "<out-dir>/"
./graph_buffers.py <Behaviour>/<Eviction Strategy>/<buffer size>-metrics.<seed>.pickle.bz2 --path-prefix "<out-dir>/"