Agent Based Simulation and Experimental Economics Software

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Overview

Welcome to the mTree documentation! mTree is a Agent-Based Modelling software in python. If this is your first time interacting with mTree follow the Novice path mentioned below in order to properly install and test the software.

Novice Path

Do this step by step

1. Installing Docker Desktop

2. Installing mTree

3. Quick Start Guide

4. Cloning mTree_auction_examples

5. Running mTree_auction_examples

   1. mTree_auction_examples container setup

      • mTree Container Setup

   2. Running mTree_auction_examples container

      • Start

      • Open Shell

   3. Common Value Auction

   4. File Structure

   5. Running common_value_auction simulation

   6. How to know your simulation has finished running?

   7. Simulation Results

   8. Checking for Errors

   9. Quitting

   10. Conclusion

Contents

• Installation
  • Installing Docker Desktop
  • Installing mTree
  • mTree Container Setup
• Quick Start Guide
  • Cloning mTree_auction_examples
  • Running mTree_auction_examples
• Quick Build
• Reference
  • Theory of Operations
  • messages
  • Actor Description
  • config folder
  • address book
  • Logs
  • Error Handling
  • mTree Simulation State
• Contribute
• Learning Paths
  • Tatonnement
  • Sealed Bid Auction
  • Ascending Price Auction
  • Descending Price Auction
  • Common Value Auction

Indices and tables

• Index

• Module Index

• Search Page