Turing Machine- Inspired State Management for the 2048 Game: A Computational Approach to Game Logic and Efficiency

This paper presents a novel implementation of the popular 2048 game using a Turing Machine-inspired state management model. The game's grid is represented as a linear tape, allowing for clear and modular management of game states, including tile movements, merging, and score updates. The system uses Python and Pygame to deliver a dynamic and interactive gaming experience, integrating efficient algorithms to handle state transitions and game logic. The paper emphasizes the importance of structured state representation in game development, showcasing how abstract models like Turing Machines can simplify complex operations. Through this approach, the article not only replicates the mechanics of 2048 but also provides insights into scalable state management techniques applicable to more complex games or systems. The interactive design, coupled with real-time updates, ensures a smooth user experience while offering a foundation for experimenting with advanced game development concepts.

Authors

Institutions

Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/icctdc64446.2025.11158908
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Turing Machine- Inspired State Management for the 2048 Game: A Computational Approach to Game Logic and Efficiency

M. Harshith, Niharika Panda, M.K. Sunil, E Balaji et al.
Artificial Intelligence in Games
article

Turing Machine- Inspired State Management for the 2048 Game: A Computational Approach to Game Logic and Efficiency

M. Harshith, Niharika Panda, M.K. Sunil, E Balaji, C. Sai KushalYadav
article en

Abstract

This paper presents a novel implementation of the popular 2048 game using a Turing Machine-inspired state management model. The game's grid is represented as a linear tape, allowing for clear and modular management of game states, including tile movements, merging, and score updates. The system uses Python and Pygame to deliver a dynamic and interactive gaming experience, integrating efficient algorithms to handle state transitions and game logic. The paper emphasizes the importance of structured state representation in game development, showcasing how abstract models like Turing Machines can simplify complex operations. Through this approach, the article not only replicates the mechanics of 2048 but also provides insights into scalable state management techniques applicable to more complex games or systems. The interactive design, coupled with real-time updates, ensures a smooth user experience while offering a foundation for experimenting with advanced game development concepts.

Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 87%
Artificial Intelligence in Games
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Turing Machine- Inspired State Management for the 2048 Game: A Computational Approach to Game Logic and Efficiency — M. Harshith, Niharika Panda, et al. · (2025) | TGRS Research Map | TGRS