Deck Building in Collectible Card Games using Genetic Algorithms: A Case Study of Legends of Code and Magic

Ya Ju Yang, Tsung Su Yeh, Tsung Che Chiang

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Collectible card games (CCGs) are a kind of game in which players use a variety of cards to achieve the goal of game, for example, defeating the opponent. To play a game, players need to build a card deck, which consists of specified number of cards; only cards in the deck can be used in the game. Deck building is an important part in playing CCGs. This paper addresses deck building in a recently released CCG, Legends of Code and Magic. Our strategy is to evaluate cards by some scoring functions and then select cards into the deck accordingly. We adopt three types of scoring functions and use genetic algorithms (GA) to set proper values of parameters in the scoring functions. We checked the performance of the three versions of deck-building GAs against existing agents and found that scoring by card attributes is effective. We also analyzed the decks built by these algorithms and discussed their pros and cons.

原文英語
主出版物標題2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728190488
DOIs
出版狀態已發佈 - 2021
事件2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Orlando, 美国
持續時間: 2021 12月 52021 12月 7

出版系列

名字2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings

會議

會議2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021
國家/地區美国
城市Orlando
期間2021/12/052021/12/07

ASJC Scopus subject areas

  • 人工智慧
  • 電腦科學應用
  • 決策科學(雜項)
  • 安全、風險、可靠性和品質
  • 控制和優化

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