Game evaluation method, device, and application evaluation method
AssigneePrecious Analytics Inc.
InventorHiroki Yonemoto
Life of this patent
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Abstract
The present disclosure relates to a game evaluation method, evaluation device, and evaluation program. With the game evaluation method according to the present disclosure, a computer is caused to execute: (A) a step of calculating, when a player takes action, the multiplication of an expected value for acquiring and consuming each item by the presumed number of times of the action taken by the player, on the basis of parameters in a master; and (B) a step of visualizing the balance of each item on the basis of the result of the multiplication.
Claims8
A computer-implemented evaluation method for a game, comprising:
- by a computer processor executing program instructions utilizing artificial intelligence including deep learning or machine learning,
- (A) computationally converting using automated algorithmic processing a hierarchically-nested non-standard master with parent masters, child masters, and grandchild masters having a format that is not uniformized among a plurality of games into a standard master format having a format uniformized among the plurality of games, wherein the converting requires computational traversal through multiple database levels where what item can be obtained and at what rate cannot be determined without algorithmically processing through at least two different masters including child masters and grandchild masters;
- (B) executing simultaneous computational processing of multiplication calculations across multiple data streams including expected values of acquisition and consumption of items when a player performs actions, and assumed numbers of times of the actions performed by the player on a basis of parameters of the standard master format, wherein the processing coordinates calculations across interconnected masters where the same item can be acquired from multiple different contents with different master structures, and wherein comprehensive and detailed simulation was virtually impossible in the related art;
- (C) generating and rendering using graphics processing hardware real-time visual representations on a display device showing coordinated balance data of the items on a basis of results of the multiplication including coordinated display of changes in acquired amounts, consumed amounts, and balance of items over multiple playing days;
- and
- (D) executing automated iterative processing loops that continuously readjust parameters of the standard master format based on the visualized balance, wherein the iterative loops automatically repeat the calculating and visualizing steps when required as a result of parameter readjustment until predetermined balance values are achieved without manual intervention,
- wherein the standard master format is a master data structure that is converted from a hierarchically-nested non-standard master with multi-level nesting structure including parent masters, child masters, and grandchild masters and has a format uniformized among the plurality of games, the hierarchically-nested non-standard master being a master data structure having a multi-level nesting structure and format that is not uniformized among the plurality of games.
A game evaluation system comprising:
- a memory storing instructions;
- and
- a processor configured to execute the instructions to:
- (A) computationally convert using automated algorithmic processing a hierarchically-nested non-standard master with parent masters, child masters, and grandchild masters having a format that is not uniformized among a plurality of games into a standard master format having a format uniformized among the plurality of games, wherein the converting requires computational traversal through multiple database levels where what item can be obtained and at what rate cannot be determined without algorithmically processing through at least two different masters including child masters and grandchild masters;
- (B) execute simultaneous computational processing of multiplication calculations across multiple data streams including expected values of acquisition and consumption of items when a player performs actions, and assumed numbers of times of the actions performed by the player on a basis of parameters of the standard master format, wherein the processing coordinates calculations across interconnected masters where the same item can be acquired from multiple different contents with different master structures;
- (C) generate and render using graphics processing hardware real-time visual representations on a display device showing coordinated balance data of items on a basis of results of the multiplication including coordinated display of changes in acquired amounts, consumed amounts, and balance of items over multiple playing days;
- and
- (D) execute automated iterative processing loops that continuously readjust parameters of the standard master format based on the visualized balance, wherein the iterative loops automatically repeat the calculating and visualizing steps when required as a result of parameter readjustment until predetermined balance values are achieved without manual intervention,
- wherein the standard master format is a master data structure that is converted from a hierarchically-nested non-standard master with multi-level nesting structure including parent masters, child masters, and grandchild masters and has a format uniformized among the plurality of games, the hierarchically-nested non-standard master being a master data structure having a multi-level nesting structure and format that is not uniformized among the plurality of games.
A non-transitory computer-readable storage medium storing a game evaluation program that, when executed by a processor, causes the processor to perform operations comprising:
- (A) computationally converting using automated algorithmic processing a hierarchically-nested non-standard master with parent masters, child masters, and grandchild masters having a format that is not uniformized among a plurality of games into a standard master format having a format uniformized among the plurality of games, wherein the converting requires computational traversal through multiple database levels where what item can be obtained and at what rate cannot be determined without algorithmically processing through at least two different masters including child masters and grandchild masters;
- (B) executing simultaneous computational processing of multiplication calculations across multiple data streams including expected values of acquisition and consumption of items when a player performs actions, and assumed numbers of times of the actions performed by the player on a basis of parameters of the standard master format, wherein the processing coordinates calculations across interconnected masters where the same item can be acquired from multiple different contents with different master structures;
- (C) generating and rendering using graphics processing hardware real-time visual representations on a display device showing coordinated balance data of items on a basis of results of the multiplication including coordinated display of changes in acquired amounts, consumed amounts, and balance of items over multiple playing days;
- and
- (D) executing automated iterative processing loops that continuously readjust parameters of the standard master format based on the visualized balance, wherein the iterative loops automatically repeat the calculating and visualizing steps when required as a result of parameter readjustment until predetermined balance values are achieved without manual intervention,
- wherein the standard master format is a master data structure that is converted from a hierarchically-nested non-standard master with multi-level nesting structure including parent masters, child masters, and grandchild masters and has a format uniformized among the plurality of games, the hierarchically-nested non-standard master being a master data structure having a multi-level nesting structure and format that is not uniformized among the plurality of games.
A computer-implemented evaluation method for an application software, comprising:
- by a computer processor executing program instructions utilizing artificial intelligence including deep learning or machine learning,
- (A) computationally converting using automated algorithmic processing a hierarchically-nested non-standard master with parent masters, child masters, and grandchild masters having a format that is not uniformized among a plurality of applications into a standard master format having a format uniformized among the plurality of applications, wherein the converting requires computational traversal through multiple database levels where what item can be obtained and at what rate cannot be determined without algorithmically processing through at least two different masters including child masters and grandchild masters;
- (B) executing simultaneous computational processing of multiplication calculations across multiple data streams including expected values of acquisition and consumption of items when a user performs actions, and assumed numbers of times of the actions performed by the user on a basis of parameters of the standard master format, wherein the processing coordinates calculations across interconnected masters where the same item can be acquired from multiple different contents with different master structures;
- (C) generating and rendering using graphics processing hardware real-time visual representations on a display device showing coordinated balance data of items on a basis of results of the multiplication including coordinated display of changes in acquired amounts, consumed amounts, and balance of items over multiple playing days;
- and
- (D) executing automated iterative processing loops that continuously readjust parameters of the standard master format based on the visualized balance, wherein the iterative loops automatically repeat the calculating and visualizing steps when required as a result of parameter readjustment until predetermined balance values are achieved without manual intervention,
- wherein the standard master format is a master data structure that is converted from a hierarchically-nested non-standard master with multi-level nesting structure including parent masters, child masters, and grandchild masters and has a format uniformized among the plurality of applications, the hierarchically-nested non-standard master being a master data structure having a multi-level nesting structure and format that is not uniformized among the plurality of applications.
Dependencies are inferred from the claim text.