This is a working demo for our Game AI project, which aims to perform procedural quest generation.
Before running the code, fast-downward must be built. Change to the fast-downward directory and run ./build.py.
Ties the entire workflow together. Use the create_quest function to create a quest, which will be returned in PPDL.
Given a goal, which is one or more predicates joined with an AND, and an agent name, use fast-downward to plan a quest for a given agent.
Given a plan, which is a sequence of actions, we will classify the sequence into respective motivation category based on highest score. There are 9 motivations, which are "Knowledge", "Comfort", "Reputation", "Serenity", "Protection", "Conquest", "Wealth", "Ability", and "Equipment".
Generates goals for other parts of the workflow. generate takes a random seed and an agent name and returns the goal string, the AND of several predicates.
Can be run using Flask. This is done by setting the FLASK_APP environment variable to point to server.py and then doing flask run.
Translates quests from PPDL to natural(ish) English.