Introduction

This is a system for creating an agent based simulation for the Blockchain network. The key features of this system is to create a random simulation which is also reproduceable. This is achieved by letting the user decide on the seed for RNG. Another objective of this system is to allow the user to define the behaviour of different types of nodes which participate in the blockchain.

Each node in the system inherits from the Entity class which defines the default behaviour of a random blockchain node. The system can be extended by creating additional functions after extending an Entity. For example, the included Miner class extends entity by implementing functions which give the Miner a block reward and adds new blocks to the chain. A Miner can be further extended by extending the Miner class.

Each Entity has an embedding vector which represents the habits of the node. These habits can be used to decide on how the nodes interact with each other. For example, an Entity with a particular habit is more likely to interact with a specific Merchant with a similar habit embedding.

Prerequisites

The following libraries were used while designing the simulator(they need to be installed before running the code):

numpy
matplotlib
networkx
bezier
fa2

Usage

Creating the simulation files:

python3 simulation.py

Creating the visualization:

mkdir plots
python3 visualize.py simulation.pkl