In this project, I will solve deterministic logistics planning problems for an Air Cargo transport system using a planning search agent. I will start by defining a group of air cargo domain problems in classical PDDL (Planning Domain Definition Language) fashion, and then I will set up the problems for search, experimenting with various automatically generated heuristics to solve the problems. This project is part of the Artificial Intelligence Nanodegree program, from Udacity.
This project requires Python 3.4 or higher and the following Python libraries installed:
In a terminal or command window, navigate to the top-level project directory AirCargo_Planning/ (that contains this README) and run the following command:
$ python aind/run_search.py -m- RUSSELL, S.; NORVING, P. Artificial Intelligence: A Modern Approach. 3rd ed. Prentice Hall Press, 2009.
- Udacity original code. link
The contents of this repository are covered under the MIT License.