Server Deck Segmentation for Accurate Game Content Cost Prediction
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Solution Overview
Problem
Players in online card games face uncertainty in predicting the cost to obtain rare game contents due to stochastic selection methods, leading to deviations from expected costs.
Innovation Solution
A server device allocates decks to players, allowing for the selection and storage of won game contents based on player identification, with an updating unit that manages deck contents and provides accurate cost prediction by tracking current and aggregate numbers of game contents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If game contents are selected from a population based on winning probabilities, then the game can provide rare contents to players, but players cannot accurately predict the costs required to obtain desired game contents
Solution Approach 1:
The patent segments the game content population into multiple decks, where each deck contains a specific composition of game contents with known quantities. This segmentation allows players to predict acquisition costs by knowing the exact number of each content type in the deck, while maintaining stochastic selection within each deck. The server tracks remaining contents in each deck, enabling cost prediction based on current deck state.
Solution Approach 2:
The patent implements feedback by providing players with information about the current state of decks, including the number of remaining game contents of each type. This feedback enables players to accurately predict acquisition costs by knowing how many more requests they need to make on average to obtain desired rare contents, as the expected value can be calculated from the current deck composition.
2Measurement precision
If multiple acquisition requests are made to obtain rare game contents, then players can obtain desired rare cards, but the actual costs deviate from expected values due to stochastic prediction limitations
Solution Approach 1:
The patent applies preliminary action by pre-defining deck compositions with specific quantities of each game content type before the game begins. This allows players to calculate expected acquisition costs in advance based on the known deck composition, rather than relying on uncertain stochastic predictions. The server maintains tracking of remaining contents, enabling continuous accurate cost prediction throughout the game.
3Reliability
If game contents are randomly selected based on winning probabilities, then the game maintains fairness and randomness, but players experience uncertainty in cost prediction
Solution Approach 1:
By segmenting the game content into decks with known compositions, the patent enables players to make informed decisions about which contents to acquire and at what cost. Players can evaluate whether the expected acquisition cost justifies the value of desired rare contents, improving ease of operation while maintaining the randomness and fairness of selection within each deck.
Data Source
AI summary
One object is to provide a server device that enables accurate expectation of cost required to acquire a desired game content. In accordance with one aspect, a server device according to an embodiment of the present invention provides a game to one or more players via a network. This server device includes a won game content selecting unit configured to select one or more game contents as first won game contents from the game contents contained in a first deck allocated to a first player of the one or more players, an owned game content information storage unit configured to store the one or more won game contents in association with the first player identification information, and an updating unit configured to update the first deck by clearing the one or more first won game contents from the first deck.