Game System Recommended Deck Presentation Logic
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Solution Overview
Problem
In deck-based games, players' enjoyability can be enhanced if they can set a recommended deck for battles, but existing technologies do not effectively provide such enhancements.
Innovation Solution
A program and system that allow a computer to perform execution processing for a battle game using a deck of game elements and recommend a deck based on the number of predetermined losses reached by the player, enabling the presentation of a recommended deck to the player.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a deck-based battle game is provided without recommended deck functionality, then the game system remains simple, but player enjoyability is reduced
Solution Approach 1:
The system pre-calculates and stores optimal deck configurations in advance based on game data and statistics. When a player requests a recommended deck, the system retrieves these pre-prepared recommendations rather than calculating them in real-time, thus enhancing player experience without adding significant computational complexity to the game runtime.
Solution Approach 2:
The system automatically generates deck recommendations based on player performance data and game statistics without requiring manual intervention from game masters or developers. The recommendation algorithm autonomously analyzes player losses and suggests optimized decks, reducing the need for external configuration and management overhead.
2Ease of operation
If recommended deck presentation is added to help players after losses, then player enjoyability is enhanced, but the processing complexity increases
Solution Approach 1:
The system monitors player battle results and automatically triggers recommended deck presentation when a predetermined number of losses is reached. This feedback mechanism provides timely assistance to players based on their performance, enhancing enjoyability by preventing frustration while maintaining simple processing logic through clear threshold-based triggers.
Solution Approach 2:
The system stores multiple pre-defined recommended deck configurations that can be quickly copied and presented to players. Instead of generating unique complex recommendations for each player situation, the system utilizes pre-prepared deck templates that can be rapidly deployed, reducing processing complexity while maintaining helpful functionality.
3Reliability
If the system continuously monitors player losses to provide recommendations, then player support is improved, but information processing requirements increase
Solution Approach 1:
The system establishes a predetermined loss threshold in advance and only triggers recommendation processing when this threshold is reached. This preliminary setting prevents continuous information processing by idle monitoring, reducing the information processing load while ensuring reliable player support is provided exactly when needed.
Solution Approach 2:
The system checks player loss counts at periodic intervals rather than continuously monitoring every battle result in real-time. This periodic checking approach maintains reliable tracking of player performance while significantly reducing the information processing requirements compared to continuous monitoring, as the system only needs to evaluate the loss counter at discrete points.
Data Source
AI summary
A program causes a computer to perform execution processing for performing a battle game in which a deck comprising a plurality of first game elements is used; and recommended deck presentation processing for presenting a recommended deck which is recommended for use in the battle game, under a condition that the number of predetermined losses of a player in the battle game reaches a predetermined number.