Evolutionary algorithm against player for the game
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Um, S.-W. | - |
dc.contributor.author | Im, C.-S. | - |
dc.contributor.author | Kim, T.-Y. | - |
dc.contributor.author | Choi, J.-S. | - |
dc.date.available | 2019-06-26T01:22:10Z | - |
dc.date.issued | 2005-12 | - |
dc.identifier.issn | 1109-2750 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/26175 | - |
dc.description.abstract | The computer games have been offered as a new Drosophila for AI research. Many games are a test bed for the developments of ideas in computer game playing programs. This paper describes how we use Genetic Algorithm to control the level of difficulty in a game based on a player's skill. The game learns how to offer appropriate difficulty for players in our researches. We use Factor of Difficulty Control in a game(FDC) as Chromosomes and Factor of Users' Adaptation to a game(FUA) as Fitness in the Genetic Algorithm. We propose to control the difficulty of a game based on the players' skill fundamentally using Genetic Algorithm. Then we apply it to the puzzle game, and prove that it decreases the gap between beginners and experts. Thus we try to improve previous Genetic Algorithm to optimize the game. In this paper, we propose an Evolutionary Algorithm against Player for game (E.A.P) that controls the difficulty of a game based on the player's propensity and proficiency by Genetic Algorithm (G.A). We suggest a game algorithm that enables a game to change the difficulties by itself based on the player's suitability to the game using Genetic algorithm. | - |
dc.format.extent | 7 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Evolutionary algorithm against player for the game | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | WSEAS Transactions on Computers, v.4, no.12, pp 1754 - 1760 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-30144440462 | - |
dc.citation.endPage | 1760 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 1754 | - |
dc.citation.title | WSEAS Transactions on Computers | - |
dc.citation.volume | 4 | - |
dc.type.docType | Article | - |
dc.publisher.location | 그리이스 | - |
dc.subject.keywordAuthor | Controlling difficulties of games | - |
dc.subject.keywordAuthor | Game | - |
dc.subject.keywordAuthor | Game AI | - |
dc.subject.keywordAuthor | Genetic Algorithm | - |
dc.subject.keywordAuthor | Optimization theory | - |
dc.subject.keywordPlus | Computer simulation | - |
dc.subject.keywordPlus | Evolutionary algorithms | - |
dc.subject.keywordPlus | Genetic algorithms | - |
dc.subject.keywordPlus | Optimization | - |
dc.subject.keywordPlus | Game | - |
dc.subject.keywordPlus | Game AI | - |
dc.subject.keywordPlus | Optimization theory | - |
dc.subject.keywordPlus | Computer graphics | - |
dc.description.journalRegisteredClass | scopus | - |
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