Automated playtesting in collectible card games using evolutionary algorithms: A case study in hearthstone-Reference-Cited by-同舟云学术

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Automated playtesting in collectible card games using evolutionary algorithms: A case study in hearthstone

Published:2018-08 Issue: Volume:153 Page:133-146
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

García-Sánchez Pablo^ORCID,Tonda Alberto^ORCID,Mora Antonio M.,Squillero Giovanni^ORCID,Merelo Juan Julián

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference27 articles.

1. Hearthstone now has 50 million players, (http://www.polygon.com/2016/4/26/11511890/hearthstone-50-million-players-2016). Accessed 15 January 2017.

2. Rarity and power: balance in collectible object games;Ham;Game Stud.,2010

3. Introduction to Evolutionary Computing;Eiben,2015

4. Evolving card sets towards balancing Dominion;Mahlmann,2012

5. Evolutionary deckbuilding in Hearthstone;García-Sánchez,2016

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applying evolutionary methods for the optimization of an intrusion detection system to detect anomalies in network traffic flows;Advances in Computers;2024

2. Exploring reinforcement learning approaches for drafting in collectible card games;Entertainment Computing;2023-01

3. CreativeStone: a Creativity Booster for Hearthstone Card Decks;IEEE Transactions on Games;2023

4. Looking for archetypes: Applying game data mining to hearthstone decks;Entertainment Computing;2022-08

5. Automated Graph Genetic Algorithm based Puzzle Validation for Faster Game Design;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18

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