Modeling Temple Run Gameplay with Finite State Machines

The ambitious task of implementing the popular Temple Run game in a new approach that is used to create a version of the Temple Run game that is represented in Non-Deterministic Finite Automata (NFA) and Deterministic Finite Automata (DFA). Temple Run, celebrated for its dynamic gameplay and constantly changing obstacles, offers an ideal platform for these automata models in gaming mechanics. The initiative focuses on using Non-Deterministic Finite Automata to generate diverse and evolving pathways within the game environment, ensuring players encounter a variety of challenges and opportunities. Conversely, Deterministic Finite Automata will regulate the behavior of in game elements like obstacles, abilities, and enemies, establishing clear rules and patterns for their movements and interactions. Through the integration of both NFA and DFA models, an immersive Temple Run experience is aimed to be created, seamlessly combining unpredictability with structured gameplay, ensuring each gaming session is both engaging and rewarding for players.

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Publication Details

Published
2024-09-21
DOI
https://doi.org/10.1109/nkcon62728.2024.10774996
Citations
1
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.35
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article

Modeling Temple Run Gameplay with Finite State Machines

D. Radha, Prabhat Kumar Datta, D. Lalith Kumar, S. Tanoj
1 citations
Artificial Intelligence in Games
0.35
article

Modeling Temple Run Gameplay with Finite State Machines

D. Radha, Prabhat Kumar Datta, D. Lalith Kumar, S. Tanoj
article en
1 citations

Abstract

The ambitious task of implementing the popular Temple Run game in a new approach that is used to create a version of the Temple Run game that is represented in Non-Deterministic Finite Automata (NFA) and Deterministic Finite Automata (DFA). Temple Run, celebrated for its dynamic gameplay and constantly changing obstacles, offers an ideal platform for these automata models in gaming mechanics. The initiative focuses on using Non-Deterministic Finite Automata to generate diverse and evolving pathways within the game environment, ensuring players encounter a variety of challenges and opportunities. Conversely, Deterministic Finite Automata will regulate the behavior of in game elements like obstacles, abilities, and enemies, establishing clear rules and patterns for their movements and interactions. Through the integration of both NFA and DFA models, an immersive Temple Run experience is aimed to be created, seamlessly combining unpredictability with structured gameplay, ensuring each gaming session is both engaging and rewarding for players.

Amrita Vishwa Vidyapeetham (IN)
Sustainable cities and communities
Openalex Percentile: Top 30%
Artificial Intelligence in Games
0.35
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