2.1.4 Multiplayer Interactive Story Generation

In BitPlay’s online multiplayer, social, and sandbox games, AIGC enables the creation of shared interactive storylines where every player's actions shape the narrative. Based on each player’s choices, dynamic storylines are generated, ensuring seamless interaction and storyline continuity.

Developers initially set the foundational world of the game, and BitPlay’s pretrained language model serves as the core for story generation. The model uses players' choices, dialogues, and actions to generate plot developments, ensuring smooth narrative flow and natural language. For example, the model interprets player inputs, understands the current context, and generates a logical progression in the storyline.

In multiplayer interactive stories, each player may play different roles, requiring AI to manage and generate personalized dialogues and actions for multiple characters. To do this, AI needs to understand each character’s background and motivations, generating suitable dialogues based on each player’s personalized traits. For instance, one character might adopt a friendly approach while another opts for confrontation, and the AI adjusts the dialogue accordingly.

To maintain coherence and consistency, the AI uses a "memory module" to remember key events and character actions, ensuring that generated storylines align with past events. For example, if Character A and Character B previously cooperated, the AI will remember this bond, allowing Character B to show trust in future interactions.

In multiplayer mode, players' choices can influence each other, and the AI handles conflicts or merges diverse choices into a cohesive storyline. For example, if two players choose opposite actions, the AI will generate a plot direction that integrates both choices, ensuring smooth multi-character interaction. The AI also evaluates the priority of different actions to create a storyline that reflects the collective choices of the players.

Additionally, the platform uses reinforcement learning algorithms to reward and penalize player behaviors, optimizing the narrative's logic. GANs are employed to generate diverse scenes and visuals, offering dynamic settings and unique NPC appearances to enhance the immersive experience.