JOURNAL ARTICLE
Sin Dolor No Hay Gloria: On Conquering 2 World Computer Chess Championships in Spain.
Published In: International Computer Games Association Journal, 2025, v. 47, n. 3. P. 136 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Pascutto, Gian-Carlo 3 of 3
Abstract
The article focuses on Stoofvlees II, a hybrid Monte–Carlo Tree-Search (MCTS) chess engine enhanced by a deep-convolutional neural network and classical evaluation, which won the 2023 World Computer Chess Championship (WCCC) outright and shared the 2024 title with Jonny and Raptor. It details the engine’s architecture, training methods, and tournament strategies, highlighting deviations from the AlphaZero paradigm, data generation from human games, and practical considerations such as hardware choices and opening preparation. The 2023 and 2024 WCCC tournaments featured high-level competition with frequent draws, leading to a shared championship in 2024 after playoff complications. The article also discusses challenges related to hardware limitations, tournament conditions, and the evolving format of computer chess championships.
Additional Information
- Source:International Computer Games Association Journal. 2025/08, Vol. 47, Issue 3, p136
- Document Type:Conference Paper/Materials
- Subject Area:Sports and Leisure
- Publication Date:2025
- ISSN:1389-6911
- DOI:10.1177/13896911251360654
- Accession Number:187457187
- Copyright Statement:Copyright of International Computer Games Association Journal is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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