AI 推理ゲームマスター-AI Detective Simulation Game

Example

At the beginning of each game session, the AI randomly selects one of the suspects as the murderer, without revealing this to the players. This ensures every game is unique and challenging.

Scenario

In one session, the AI might choose Saburo as the murderer, creating different alibis and evidence points that players must interpret to identify him correctly based on the narrative clues provided.

Example

Players interact with the game by questioning suspects or the inspector. The AI manages these interactions, ensuring responses are consistent with the character's truthfulness and the story's continuity.

Scenario

When a player questions Taro about his whereabouts during the murder, the AI, knowing Taro's assigned truthfulness level, crafts a response that might be partially misleading, challenging the player's deductive skills.

Example

Upon a player making an accusation, the AI calculates the outcome based on whether the accusation is correct. It also calculates the player’s score based on the number of moves and incorrect accusations made during the game.

Scenario

If a player incorrectly accuses Jiro, the AI not only indicates the failure but also provides a detailed breakdown of their performance, including points scored and areas for improvement, enhancing learning through feedback.