Introduction to AI Coursework 2021

Welcome to the Introduction to Artificial Intelligence coursework repo 2021. This repo, and it's associated documentation (such as this readme) is provided as a convenient way to allow you to run your PDDL domain on a planner, either locally or remotely.

Please note, this readme is not a substitute for the main document outlining the expectations and deliverables for the coursework. It should be viewed as additional help only

The purpose of this repo is to allow you to write PDDL domains and problems, push them to GitHub and have GitHub Actions (a CI/CD service) automatically execute them for you and provide you with a repo of their success or failure. By using GitHub, not only do you make it easy to test your domains, you make it easy for your team to collaborate on the writing and development of them.

Getting Started

Read these instructions carefully, failure to follow correctly could result in academic misconduct and failure of the coursework

To get started, you will first need to make a copy of this repo onto your own account.

Only one person per team should do this and everyone else should be added to that repo.

1. Navigate to the template repository

2. In the left corner, click the green button that reads "Use this template".

3. On the "create new repo" page, use the same repo name as the coursework "INT-Coursework-2021". Please make sure that you copy this title exactly!

   Additionally, you must set your repo to private. Failure to do so could result in plagiarism issues which may affect your marks.

   

4. Because your new repo is private, you will need to add the rest of your team members. You can do this with their email or GitHub username by going to Settings > Manage Access > Invite a Collaborator

   You must also add myself, nergmada to your repo. This allows us to provide quicker technical support and to collect your PDDL submissions.

5. You must change the number in the file called TEAM to your team number as can be found on the Team Feedback page for your group. Again, failure to do so could result in you not receiving as many marks as you may otherwise!

6. Finally your repo is now setup, you can clone it and start writing PDDL. In the src file of the repo, you will find domain.pddl and problem_1.pddl and problem_2.pddl. These are here as placeholders, you can safely replace these with your own domain and problem files.

Using this repo

This repo will automatically run every (correctly labelled) problem against the domain file in the src folder of this repo.

When you write your domain, you should write it in the the domain.pddl file found in source. All your problem files should be written in files labelled problem_X.pddl where X is the number of the problem file.

Note: This repo only runs problem files sequentially starting at 1 and will terminate when it cannot find the next number in the sequence

You should label all your problem files starting at 1 like problem_1.pddl, problem_2.pddl, problem_3.pddl, ensuring there are no gaps.

When you push these to GitHub, GitHub actions will run them and post an issue to github with the results. You can view issues by going to the "Issues" tab on your repo.

Running Locally (Optional Advanced)

To run this code locally (which is only recommended for advanced users) you will need experience with docker and docker installed.

1. Open a terminal in the repo folder

2. Open the Dockerfile and add the following lines above the final line which reads ENTRYPOINT ./plan.sh

COPY ./src /src
WORKDIR /src

Do not commit the updated Dockerfile to github, or you WILL break github actions for your repo

3. To run your domain and problem file, you must first run the build.sh script (for Mac/Linux) or build.bat script (for Windows)

4. You can now execute your domain on the build container (it takes up to 10 mins to build the container the first time), but running run.sh (for Mac/Linux) or run.bat (for Windows)