Young, Julio Christian and Saptawijaya, Ari (2019) Incremental Inductive Learning of Answer Set Programs for Maps Generation Problems. In: 2019 International Conference on Advanced Computer Science and information Systems (ICACSIS), 12-13 Oct. 2019, Bali, Indonesia.
Full text not available from this repository.Abstract
In game development, Procedural Content Generation is an approach that replaces the designer's task in creating contents of games, e.g., game maps. We introduce an incremental learning process that utilizes Inductive Learning (IL) of Answer Set Programs (ASP) to automate solving maps generation problems rather than to explicitly specify the characteristics of the maps. In an incremental learning process, a complex learning task is divided into a sequence of learning iterations, where each iteration consists of a set of smaller learning tasks to learn a set of rules. In order to speed up the learning process, each task in the same iteration is solved asynchronously. Our experiments show that IL of ASP successfully learns an answer set program. That is, it provides a set of rules for generating a collection of game maps that possess the same characteristics as the maps referred in the learning scenario.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 14 Oct 2021 06:19 |
| Last Modified: | 14 Oct 2021 06:19 |
| URI: | https://kc.umn.ac.id/id/eprint/18754 |
Actions (login required)
 |
View Item |
