Game AI Pattern Copying for Player Trend Adaptation

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Solution Overview

Problem

Conventional game AI systems lack the ability to adapt to a player's trends and styles, leading to repetitive gameplay patterns and a lack of interest, as they are pre-set by designers and fail to reflect recent play trends, resulting in a suboptimal gaming experience.

Innovation Solution

A method and system for controlling game AI that collects and analyzes gameplay patterns to determine an optimal play pattern based on a player's capability level and style, allowing the AI to execute dynamic gameplay even when disconnected from an online server, using a specialized AI tool installed on the player's terminal.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional game AI uses pre-set patterns designed by game designers, then the game AI can provide consistent and controllable gameplay, but the game AI repeats identical patterns and fails to reflect player trends, leading to player loss of interest

Engineering Contradiction:
Improveadaptability to player trendsVSAvoidcontrol program complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent copies successful gameplay patterns from real players (pattern data including input information and coordinate data) and applies them to control game AI behavior. Instead of designing patterns from scratch, the system records and reproduces actual player strategies, making the AI adaptable to player trends without requiring complex control program modifications

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The system pre-collects and stores pattern data from multiple players during gameplay before using it to control the game AI. By gathering gameplay data in advance and building a database of patterns, the system prepares adaptive behavior in advance, allowing the AI to reflect player trends without real-time complexity

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If game designers update control programs to reflect recent play trends, then the game AI can adapt to new strategies, but additional efforts and costs are required, so designers avoid updating

Engineering Contradiction:
Improvereflection of recent play trendsVSAvoidease of updating control program
Core Design Contradiction:
Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The system automatically collects gameplay data, analyzes patterns, and updates the game AI behavior without requiring designer intervention. The automated pattern recognition and selection processes enable the AI to adapt to new play trends independently, eliminating the need for designers to manually update control programs

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors player gameplay and uses this feedback to automatically adjust and update game AI patterns. By implementing a feedback loop where player actions are recorded and immediately used to refine AI behavior, the system maintains adaptability without requiring manual program updates

Inventive Principle:
Principle #23Feedback

3Ease of operation

If game AI plays with pre-set patterns, then the control program is simple and easy to maintain, but the gamer easily understands the AI's play pattern and quickly loses interest

Engineering Contradiction:
Improveease of maintaining control programVSAvoidvaried gameplay patterns
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system uses a universal database structure that can store and retrieve multiple types of pattern data from different players and game situations. This multi-functional approach allows the same retrieval mechanism to serve various gameplay scenarios, maintaining simplicity while providing diverse patterns

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system dynamically selects and applies patterns based on current game situations and player behavior rather than using fixed predetermined patterns. The pattern selection adapts in real-time to gameplay conditions, providing varied and interesting behavior while maintaining a simple underlying retrieval mechanism

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS9662584B2Method and system for controlling game AI which copies input pattern of gamer and playing the game
Publication Date: 2017.05.30 NHN ENTERTAINMENT
  • US9662584B2 patent drawing
  • US9662584B2 patent drawing
  • US9662584B2 patent drawing

AI summary

A method and system for controlling a game artificial intelligence (AI), which can provide a lifelike game service as if a gamer plays a game with another real gamer, by enabling a game model which is determined as optimal for a particular game situation from previously played game models or randomly played game models, to play a game AI in an identical game situation. Also, a method and system which can execute the game AI in a pattern where a play trend of the gamer is reflected with respect to a particular game situation.