Tula Online Tool for Balancing Video Games

This paper presents the development of Tula, a tool for video game balancing. The necessity for such a tool is substantiated by the growing requirements for quality and cost-effectiveness in the video game industry, particularly in managing in-game economy and game world logic. The study analyzes existing tools and approaches to game balancing and identifies their limitations, which inform the design of the new tool’s functionality. The presented tool integrates features of contemporary solutions while providing enhanced capabilities for game parameter analysis and testing, including prototype generation via class descriptions and real-time simulation. The technological foundation and architecture of the tool are described in detail. Key aspects of the implementation are discussed: interface responsiveness, continuous data synchronization, and security. Comparative analysis with Machinations revealed advantages in data processing correctness, interface convenience, and prototype modification flexibility.

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Publication Details

Journal
Automatic Documentation and Mathematical Linguistics
Published
2025-12-01
DOI
https://doi.org/10.3103/s0005105525701262
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
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article

Tula Online Tool for Balancing Video Games

V. V. Kugurakova, V. R. Rakhmankulova
Automatic Documentation and Mathematical Linguistics
Artificial Intelligence in Games
article

Tula Online Tool for Balancing Video Games

V. V. Kugurakova, V. R. Rakhmankulova
article en

Abstract

This paper presents the development of Tula, a tool for video game balancing. The necessity for such a tool is substantiated by the growing requirements for quality and cost-effectiveness in the video game industry, particularly in managing in-game economy and game world logic. The study analyzes existing tools and approaches to game balancing and identifies their limitations, which inform the design of the new tool’s functionality. The presented tool integrates features of contemporary solutions while providing enhanced capabilities for game parameter analysis and testing, including prototype generation via class descriptions and real-time simulation. The technological foundation and architecture of the tool are described in detail. Key aspects of the implementation are discussed: interface responsiveness, continuous data synchronization, and security. Comparative analysis with Machinations revealed advantages in data processing correctness, interface convenience, and prototype modification flexibility.

Automatic Documentation and Mathematical LinguisticsVol. 59(S4)
Kazan Federal University (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Artificial Intelligence in Games
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