Distributed Multi-Agent Consensus for Fault Tolerant Decision Making

Overview

• agent.py contains the main class used to implement the LF+AF, LF, AF, and PBFT consensus protocols. We assume that every agent acts as both the client and server.
• faulty_agents.py contains wrapper classes that introduce standard faulty Byzantine agents as well as malicious agents with faulty observations.
• run_agent.py is called by agent.py and initializes a regular or faulty agent.

Experiments

(1) Standard Faults

• run_robustness.py runs the standard fault experiments with varying numbers of agents and faulty agents. f random standard faulty agents are sampled 20 times.

(2) Faulty Observations

• run_experiment.py evaluates observation correctness using malicious agents who send faulty observations.

(3) Gridworld

• multiagent_gridworld contains all the code pertaining to the gridworld environment. multiagent_gridworld/multiagent_gridworld/gridworld.py contains the class for the gridworld environment.
• run_control.py runs the gridworld experiments and contains code that integrates the consensus protocol with taking actions in gridworld.