Knowledge-Based Intelligent System that collects user preferences and reasons about them
Francisco Romero, William Daniel Hiromoto, Nolan Boner
The goal of this project is to design and build a Knowledge-Based Intelligent System that collects user preferences and reasons about them. Featuring an easy-to-use GUI for collecting, from the user, names of attributes and their values, hard con-straints, and preferences. This program will also be able to read inputs from a file.
clasp and potassco are pre-compiled from: https://github.com/potassco/clasp