AI Game Level Verification With Error Location Detection

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Solution Overview

Problem

The process of verifying user-generated game levels is time-consuming and labor-intensive due to the need for manual demoing by players, leading to low verification efficiency.

Innovation Solution

Implementing an AI model to automatically verify game levels by displaying error reporting prompts for location points where the AI fails, reducing the need for manual player interaction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual demoing by players is used to verify game levels, then verification thoroughness can be achieved, but verification efficiency becomes low and the process becomes time-consuming and labor-intensive

Engineering Contradiction:
Improveverification thoroughnessVSAvoidverification efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent replaces the mechanical manual demoing process with an automated verification system comprising a level parsing module, simulation module, and verification module. The system automatically parses game level data, simulates player actions through programmatically generated action sequences, and verifies level correctness without requiring actual player intervention, thus maintaining verification thoroughness while dramatically improving efficiency

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The verification system performs self-verification by automatically generating and executing test cases against the game level. The system parses its own level data, generates appropriate action sequences, executes simulations, and produces verification reports autonomously, eliminating the need for external manual testing and achieving both high reliability and productivity

Inventive Principle:
Principle #25Self-service

2Loss of information

If manual player interaction is used for verification, then detailed feedback can be obtained, but player time and effort increase significantly

Engineering Contradiction:
Improvefeedback qualityVSAvoidverification time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary parsing of game level data to understand level structure, objectives, and constraints before generating verification test cases. This preliminary analysis enables the system to create targeted action sequences that will effectively test the level without requiring time-consuming trial-and-error manual testing, thereby maintaining feedback quality while reducing verification time

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The verification module executes simulations and automatically generates verification reports with detailed feedback on level correctness, identifying specific issues such as unreachable objectives, logical errors, or design flaws. This automated feedback mechanism provides comprehensive verification information instantly, eliminating the time loss associated with manual player testing while preserving detailed feedback quality

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260061320A1Game Level Verification Methods and Systems
Publication Date: 2026.03.05 TENCENT TECHNOLOGY (SHENZHEN) CO LTD
  • US20260061320A1 patent drawing
  • US20260061320A1 patent drawing
  • US20260061320A1 patent drawing

AI summary

Game level verification methods and systems are described herein. A game level verification technique may include displaying a game level screen, the game level screen including a virtual environment corresponding to a pre-created game level; receiving a verification operation triggered for the game level, the verification operation being configured for triggering an artificial intelligence (AI) model to verify game content of the game level; and displaying error reporting prompt information of the game level in response to the verification operation, the error reporting prompt information being configured for prompting existence of an error location point in the game level, and the error location point being a location point corresponding to game content that the AI model fails to pass in the virtual environment. Thus, the appropriateness of the game level can be verified using an AI model, without needing a player to perform a demo of the game level, improving verification efficiency.