AI Player Behavior Verification for Abuse and Bandwidth Control
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Solution Overview
Problem
Existing multi-player gaming systems lack effective methods to verify and manage abusive or praiseworthy player behavior, leading to inefficiencies and misuse of network bandwidth due to inappropriate behavior.
Innovation Solution
Implement an artificial intelligence model to analyze player behavior based on reports and historical data to accurately confirm abusive or praiseworthy conduct, enabling appropriate actions or rewards, and manage network traffic by reducing misuse of bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of player behavior is performed, then accuracy of behavior determination is improved, but time consumption and labor requirements increase
Solution Approach 1:
The patent replaces manual review processes with an artificial intelligence model that automatically analyzes player behavior data. The AI model processes historical behavior recordings and determines whether behavior is abusive or praiseworthy without human intervention, thereby maintaining accuracy while significantly reducing time consumption and labor requirements.
Solution Approach 2:
The system enables self-service by allowing the AI model to autonomously review and verify player behavior characteristics. The model independently accesses historical data, analyzes patterns, and makes determinations about abusive or praiseworthy behavior without requiring manual intervention, thus resolving the contradiction between accuracy and time consumption.
2Reliability
If network bandwidth is allocated to all player communications, then communication reliability is improved, but bandwidth waste increases due to abusive behavior
Solution Approach 1:
The patent applies preliminary action by having the AI model analyze and verify player behavior in advance before allowing certain network activities. The model reviews historical behavior data to determine whether a player's communications are likely to be abusive or praiseworthy, and pre-determines appropriate network access levels, thereby preventing bandwidth waste from abusive behavior while maintaining communication reliability for legitimate use.
Solution Approach 2:
The system implements feedback by continuously monitoring player behavior and using the AI model to provide real-time determinations about appropriate network access. The model analyzes incoming behavior data and adjusts network permissions accordingly, creating a feedback loop that prevents bandwidth waste from abusive communications while ensuring reliable communication for players with praiseworthy behavior patterns.
Data Source
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AI summary
A method for verifying behavior associated with play of a game is described. The method includes receiving a characterization of a first player from a user account as being abusive and accessing a recording of the behavior of the first player stored for a pre-determined time period in response to receiving the characterization of the first player. The method further includes analyzing, by an artificial intelligence model, the behavior of the first player to determine whether the behavior is abusive. The operation of analyzing whether the behavior of the first player is abusive is performed to determine whether the characterization of the first player is accurate.