Revolutionizing Game Creation with LLM

1. Summary

• Exploration of the Interaction-driven Game Engine (IGE), a novel approach utilizing Large Language Models (LLM) to revolutionize game development by allowing users to create content through natural language inputs. This report delves into the processes, including P_script, P_code, and P_utter, which configure game scripts, generate code snippets, and engage users for feedback. A notable case study on poker game development highlights the engine's ability to adequately support interaction and deliver accurate code. The synthesis of game script-code pairs and manual seed data furthers the capabilities of IGE, making game development more accessible and streamlined, particularly for enthusiasts not versed in complex programming.

2. Introduction to Interaction-driven Game Engine

• 2-1. Definition and Purpose of IGE

• The Interaction-driven Game Engine (IGE) is designed to simplify the game development process by leveraging Large Language Models (LLM). Traditionally, game development relies on complex engineering and programming languages, which can be a barrier for many gaming enthusiasts. The IGE aims to enable users to create custom games using natural language through a Human-LLM interaction framework. This innovative approach allows individuals without extensive programming knowledge to participate in the game development process.

• 2-2. Importance of Natural Language in Game Development

• Natural language plays a crucial role in the functionality of the Interaction-driven Game Engine. By allowing developers to communicate their ideas and intentions in a language that they are comfortable with, the IGE facilitates a more intuitive game creation experience. The engine processes users' natural language inputs to configure game scripts, generate corresponding code snippets, and provide feedback, which streamlines the development workflow. This emphasis on user-friendly interaction reduces the complexity often associated with traditional game development methods.

3. Processes Involved in IGE Functionality

• 3-1. P_script: Configuring Game Script Segments

• The Interaction-driven Game Engine (IGE) begins the game development process by configuring game script segments based on user input. This configuration acts as the foundational script that guides the game’s flow and logic.

• 3-2. P_code: Generating Corresponding Code Snippets

• Following the configuration of the game script, the IGE generates corresponding code snippets. This step is crucial as it translates the game script into executable code that can run within the game environment, facilitating the actual implementation of the desired game features.

• 3-3. P_utter: User Interaction and Feedback

• User interaction and feedback are integral parts of the IGE functionality. The engine not only guides the user through the game development process but also seeks feedback to refine the interactions and improve the overall quality of the game creation experience.

4. Data Synthesis Pipeline for Game Development

• 4-1. Generation of Game Script-Code Pairs

• The Interaction-driven Game Engine (IGE) employs a data synthesis pipeline that generates game script-code pairs. This process is essential as it allows users to create game scripts in natural language, which are then translated into corresponding code snippets. The ability to generate these pairs enables gaming enthusiasts, irrespective of their programming background, to engage in game development. The pipeline is structured into three main processes: configuring the game script segment based on the user's input, generating the corresponding code snippets, and interacting with the user for guidance and feedback. This innovative approach streamlines the game development process, making it more accessible.

• 4-2. Manual Seed Data for Training

• To enhance the functionality of the IGE, manually crafted seed data plays a crucial role in training the Large Language Model (LLM). The seed data provides initial examples that inform the model on how to interpret user inputs and produce accurate outputs. This training approach facilitates the IGE's ability to generate effective game script-code pairs by providing a foundation upon which the model can learn. The authors propose a three-stage progressive training strategy that ensures the LLM transitions smoothly into its role within the IGE. This strategy includes iteratively refining the model's performance based on user interactions, leading to improved interaction quality and code correctness.

5. Training Strategies for IGE

• 5-1. Three-stage Progressive Training Strategy

• The Interaction-driven Game Engine (IGE) employs a three-stage progressive training strategy to transition a dialogue-based Large Language Model (LLM) into an effective game development tool. This strategy is crucial for enabling the LLM to perform reflections and adapt commands based on natural language input. The three stages are designed to progressively enhance the model's capabilities while ensuring that the transition to the IGE retains both the interaction quality and code correctness. This systematic approach mitigates the inherent complexity of game development, making it more accessible to users without extensive programming skills.

• 5-2. Dialogue-based LLM Transition to IGE

• To facilitate the transition of a dialogue-based LLM to the Interaction-driven Game Engine (IGE), specific processes are defined in each interaction with the user. These processes include: (1) P_script: where the model configures the game script segment based on user input; (2) P_code: which generates the corresponding code snippet linked to the game script segment; and (3) P_utter: where the model interacts with the user, providing guidance and feedback. This approach ensures that game creation is intuitive and that developers can engage with the system through natural language, effectively leveraging the LLM's capabilities.

6. Case Study: Poker Game Development

• 6-1. Evaluation of Interaction Quality

• The Interaction-driven Game Engine (IGE) was evaluated for its interaction quality during the development of a poker game. The evaluation process involved assessing how effectively the engine facilitated user interactions through Human-LLM interaction. The findings indicated that the IGE is capable of providing guidance and feedback to users throughout the game development process, which significantly enhances the overall experience for users who may not possess extensive programming skills.

• 6-2. Assessment of Code Correctness

• The assessment of code correctness was conducted to determine the accuracy and reliability of the code generated by the IGE during the poker game development. The IGE generates code snippets corresponding to user-defined game script segments and was evaluated on its ability to produce correct code outputs. The results from the assessment indicated that the IGE was successful in generating high-quality and correct code, thereby ensuring that the game functions as intended without introducing significant errors.

Conclusion

• The Interaction-driven Game Engine (IGE) marks a pivotal shift in game development by leveraging Large Language Models (LLM) to demystify the process for non-programmers. Through detailed processes and comprehensive testing in scenarios like poker game creation, the IGE demonstrates effective user interaction support and precise code generation. Although these achievements underscore its transformative potential, further exploration is required to broaden its applicability across diverse game genres. The IGE's capabilities signify a democratization of game development, similar to other LLM-powered tools, offering a new approach that contrasts with traditional, skill-heavy methods. Expanding this research could lead to widespread adaptation and integration into varying game genres, fostering broader creative expression in digital realms. As the current implementation shows, practical applications include educational tools and starter platforms for aspiring developers to gain foundational insights. Future developments could also uncover limitations in specific applications, providing opportunities for improvement and innovation in game design software.

Glossary

• Interaction-driven Game Engine (IGE) [Game Development Technology]: The Interaction-driven Game Engine (IGE) is a novel approach to game development that employs Large Language Models (LLM) to allow users to create games through natural language interaction. Its significance lies in making game development accessible to a broader audience by simplifying the process and enhancing user engagement through interactive feedback.

• Large Language Model (LLM) [Artificial Intelligence Technology]: Large Language Models (LLM) are advanced AI systems that can understand and generate human-like text. In the context of the IGE, LLMs are utilized to interpret user inputs and translate them into game scripts and code, facilitating a more intuitive game development experience.

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