The project aims to create a system that generates genuine narratives within a text-based RPG game. The core idea is to move beyond simple random text generation and create narratives that feel more natural and engaging for the player.
6.2.1. Research ML Algorithms:
Investigate various ML algorithms suitable for narrative generation, such as reinforcement learning, sequence-to-sequence models, and generative adversarial networks (GANs).
6.2.2. Identify Potential Applications:
Determine specific areas where ML could enhance the narrative generation system, such as adapting the narrative based on player choices, generating personalized content, or predicting player behavior.
6.2.3. Implement Proof-of-Concept:
Develop proof-of-concept implementations of selected ML algorithms to evaluate their feasibility and potential benefits.
6.2.4. Evaluate and Integrate Promising Algorithms:
Evaluate the results of the proof-of-concept implementations and integrate the most promising ML algorithms into the narrative generation system.
6.2.1. Research ML Algorithms: Investigate various ML algorithms suitable for narrative generation, such as reinforcement learning, sequence-to-sequence models, and generative adversarial networks (GANs).
6.2.2. Identify Potential Applications: Determine specific areas where ML could enhance the narrative generation system, such as adapting the narrative based on player choices, generating personalized content, or predicting player behavior.
6.2.3. Implement Proof-of-Concept: Develop proof-of-concept implementations of selected ML algorithms to evaluate their feasibility and potential benefits.
6.2.4. Evaluate and Integrate Promising Algorithms: Evaluate the results of the proof-of-concept implementations and integrate the most promising ML algorithms into the narrative generation system.