Card Game AI Adaptability via Pattern Copying
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Solution Overview
Problem
Conventional card game AI systems play in pre-set patterns, fail to reflect recent gamer trends, and require significant updates, leading to repetitive gameplay and loss of interest for users.
Innovation Solution
A method and system for controlling card game AI that collects and analyzes play patterns from various sources, including professional gamers, to determine optimal play patterns based on current game situations and gamer capabilities, allowing the AI to adapt and provide a dynamic gaming experience even offline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the card game AI uses pre-set patterns by the game designer, then the AI can play the game, but the play pattern becomes repetitive and fails to reflect recent gamer trends
Solution Approach 1:
The patent applies the copying principle by creating an AI tool that copies play patterns from professional gamers or excellent players. The AI tool stores and reproduces these learned patterns, allowing the card game AI to adapt to recent gamer trends without requiring the game designer to manually update the control program. This resolves the contradiction by enabling adaptability through pattern copying rather than program rewriting.
Solution Approach 2:
The patent implements self-service by enabling the AI tool to be installed in the gamer terminal and operate independently without continuous connection to the online game server. The AI tool autonomously provides game service using its stored play patterns, allowing the system to maintain adaptability without requiring ongoing designer intervention or server updates.
2Reliability
If the card game AI repeats identical patterns, then the game can be played consistently, but the gamer loses interest quickly
Solution Approach 1:
The patent applies the dynamics principle by enabling the card game AI to dynamically switch between different play patterns based on the current game situation. Instead of repeating identical patterns, the AI selects from multiple learned patterns appropriate to the situation, maintaining both consistency in following learned strategies and variety in actual play. This dynamic selection process resolves the contradiction between reliability and adaptability.
3Adaptability or versatility
If the game designer updates the control program to reflect new trends, then the AI can adapt to recent patterns, but significant time and cost are required
Solution Approach 1:
The patent resolves the time loss problem by using the copying principle. Instead of the game designer manually updating the control program to reflect new trends, the AI tool automatically copies play patterns from professional gamers or excellent players. This eliminates the time-consuming program update process while maintaining adaptability to recent card game trends.
Solution Approach 2:
The patent introduces an intermediary approach by using the AI tool as a mediator between the game designer's intentions and the actual play patterns. The AI tool learns from and reproduces patterns from excellent players, serving as an intermediary that translates real-world gaming expertise into playable patterns without requiring direct designer intervention or time-consuming program modifications.
4Adaptability or versatility
If the card game AI requires continuous connection to the online server, then the system can be updated, but offline gameplay is not possible
Solution Approach 1:
The patent implements self-service by enabling the AI tool to be installed in the gamer terminal and operate independently without continuous connection to the online game server. The AI tool autonomously stores and executes play patterns locally, allowing offline gameplay while maintaining adaptability through pre-installed learned patterns. This resolves the contradiction by making the system self-sufficient.
Solution Approach 2:
The patent applies the preliminary action principle by pre-installing the AI tool with learned play patterns before the gamer needs to play offline. The patterns are prepared and stored in advance, allowing immediate offline gameplay without requiring connection to the server for updates. This preliminary preparation resolves the contradiction between adaptability and offline availability.
Data Source
AI summary
A method and system for controlling a card game artificial intelligence (AI), which plays in a set pattern by a game designer, and enables a play pattern reflecting a recent game trend of garners to be played by a game AI. Also, a method and system which can execute the card game AI in a pattern where a play trend of the gamer is reflected with respect to a particular game situation.