Tomas Balyo, Nils Froleyks,
"AI Assisted Design of Sokoban Puzzles Using Automated Planning"
, in Wölfel Matthias, Bernhardt Johannes and Thiel Sonja: proceedings AI Assisted Design 2022, Serie Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engin, Springer International Publishing, Seite(n) 424-441, 2022, ISBN: 978-3-030-95531-1
AI Assisted Design of Sokoban Puzzles Using Automated Planning
Sprache des Titels:
proceedings AI Assisted Design 2022
Designing interesting and challenging levels for a puzzle game is a very difficult and time consuming task. It is often possible to develop random puzzle generators that can produce solvable levels. However, in order to obtain appealing levels, usually a human designer needs to be involved. In this paper we propose a new generic method for assisting human designers to create solvable levels for a puzzle game by using Automated Planning. We will demonstrate our method on the well-known Japanese puzzle game Sokoban.
Sprache der Kurzfassung:
Springer International Publishing
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engin