Dynamic difficulty adjustment in digital games using genetic algorithms
| dc.contributor.author | Weber M. | |
| dc.contributor.author | Notargiacomo P. | |
| dc.date.accessioned | 2024-03-12T23:46:06Z | |
| dc.date.available | 2024-03-12T23:46:06Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | © 2020 IEEEThe difficulty of a game is intrinsically connected with the experience of immersion in it and with its success. One of the main reasons for a player to drop a game is that the game is either too easy or too hard for him/her. In practice, players become either bored or frustrated if playing a game that is not balanced for them. An approach to prevent this kind of behavior is to dynamically adjust the difficulty of a game so that the game adapts to the player's experience by evaluating the difficulty of a game and changing its environment to become easier or harder for the player. In this paper, we propose a real-time solution using a Genetic Algorithm which helps to provide the exact amount of challenge that a player needs to not be bored or frustrated thus balancing the difficulty of a game. We review several other papers that approached this problem, which characteristics an algorithm has to have to approach the problem, and how to balance this in a generic way. The main idea of this paper is to create an approach that can be modified and coupled to any kind of game by using a Genetic Algorithm. | |
| dc.description.firstpage | 62 | |
| dc.description.lastpage | 70 | |
| dc.description.volume | 2020-November | |
| dc.identifier.doi | 10.1109/SBGames51465.2020.00019 | |
| dc.identifier.issn | 2159-6662 | |
| dc.identifier.uri | https://dspace.mackenzie.br/handle/10899/34875 | |
| dc.relation.ispartof | Brazilian Symposium on Games and Digital Entertainment, SBGAMES | |
| dc.rights | Acesso Restrito | |
| dc.subject.otherlanguage | Artificial intelligence | |
| dc.subject.otherlanguage | Digital games | |
| dc.subject.otherlanguage | Dynamic difficult adjustment | |
| dc.subject.otherlanguage | Dynamic difficulty balance | |
| dc.subject.otherlanguage | Genetic algorithm | |
| dc.title | Dynamic difficulty adjustment in digital games using genetic algorithms | |
| dc.type | Artigo de evento | |
| local.scopus.citations | 10 | |
| local.scopus.eid | 2-s2.0-85099437495 | |
| local.scopus.subject | Digital games | |
| local.scopus.subject | Real time solution | |
| local.scopus.updated | 2024-05-01 | |
| local.scopus.url | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099437495&origin=inward |