Game Content Growth Reference Updating for Automatic Parameter Matching
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Solution Overview
Problem
Conventional gaming systems lack an algorithm to automatically update a growth reference for game contents in real time, necessitating manual search and designation of a reference content for growth, which is inefficient and time-consuming.
Innovation Solution
An information processing device and recording medium implement an algorithm to automatically extract a reference game content with the lowest predetermined parameter, match the parameters of other contents with it, and consume costs to increase these parameters, updating the growth reference dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual search and designation of reference content is used, then player control over growth reference is maintained, but time consumption and effort increase
Solution Approach 1:
The system automatically identifies and designates the reference content without requiring player intervention. The game server autonomously determines which content becomes the reference based on predefined criteria, eliminating the need for players to manually search through lists and make selections, thus resolving the contradiction between ease of operation and time loss.
2Productivity
If automatic update algorithm is implemented, then time and effort for growing game contents is reduced, but system complexity increases
Solution Approach 1:
The system pre-establishes the criteria and logic for determining reference content before the actual growth process begins. By preparing the identification rules in advance, the system can execute automatic updates efficiently without requiring complex real-time calculations, thus improving productivity while keeping the added complexity manageable.
3Ease of operation
If reference content is manually selected, then player choice is preserved, but the growth process becomes less efficient
Solution Approach 1:
The system continuously monitors the game content parameters and automatically adjusts the reference content selection based on the current state of the game. This feedback mechanism ensures that the reference content is always optimally selected to maximize growth efficiency, eliminating the inefficiencies associated with manual selection while preserving the player's ultimate control over the growth process.
Data Source
AI summary
An information processing device includes a hardware processor that: extracts, from among game contents owned by a player, a predetermined number of game contents in descending order of predetermined parameters of the extracted game contents, identifies, as a reference game content among the extracted game contents, a game content having a lowest predetermined parameter among the predetermined parameters, sets, as set game contents, some or all of the owned game contents that have not been extracted, and matches a predetermined parameter of each of the set game contents with the lowest predetermined parameter of the reference game content. In response to the player acquiring a cost for increasing a predetermined parameter of a growing game content, with the reference game content as the growing game content, the hardware processor automatically consumes the cost and increases the predetermined parameter of the growing game content.


