View source for 18319517. STORAGE MEDIUM, FLOW GENERATION METHOD, AND INFORMATION PROCESSING DEVICE simplified abstract (Fujitsu Limited)

=STORAGE MEDIUM, FLOW GENERATION METHOD, AND INFORMATION PROCESSING DEVICE=


==Organization Name==

[[:Category:Fujitsu Limited|Fujitsu Limited]]


[[Category:Fujitsu Limited]]

==Inventor(s)==

[[:Category:Akito Maruo of Atsugi (JP)|Akito Maruo of Atsugi (JP)]][[Category:Akito Maruo of Atsugi (JP)]]

[[:Category:Hideyuki Jippo of Atsugi (JP)|Hideyuki Jippo of Atsugi (JP)]][[Category:Hideyuki Jippo of Atsugi (JP)]]

[[:Category:Takeshi Soeda of Kawasaki (JP)|Takeshi Soeda of Kawasaki (JP)]][[Category:Takeshi Soeda of Kawasaki (JP)]]

==STORAGE MEDIUM, FLOW GENERATION METHOD, AND INFORMATION PROCESSING DEVICE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18319517 titled 'STORAGE MEDIUM, FLOW GENERATION METHOD, AND INFORMATION PROCESSING DEVICE

==Simplified Explanation==

The patent application describes a computer program stored on a non-transitory computer-readable storage medium that generates processing flows based on metadata and genetic programming.

* The program selects a processing flow based on the similarity level of metadata with respect to a given problem.
* It specifies a tree structure of the process flow based on genetic programming using the selected processing flow as an initial individual.

== Potential Applications ==
This technology could be applied in various fields such as data processing, optimization algorithms, and artificial intelligence.

== Problems Solved ==
1. Efficient generation of processing flows based on metadata.
2. Automated selection of processing flows for different problems.

== Benefits ==
1. Improved efficiency in processing flow generation.
2. Automated decision-making based on metadata similarity.
3. Enhanced adaptability to different problem scenarios.

== Potential Commercial Applications ==
"Automated Processing Flow Generation for Data Analysis and Optimization"

== Possible Prior Art ==
There may be prior art related to genetic programming for process flow generation and metadata-based decision-making in computer programs.

== Unanswered Questions ==

=== How does the program handle conflicting metadata similarities between different processing flows? ===
The abstract does not provide information on how the program resolves conflicts when multiple processing flows have similar metadata with respect to a given problem.

=== What is the computational complexity of the genetic programming algorithm used in the process flow specification? ===
The abstract does not mention the computational complexity or efficiency of the genetic programming algorithm employed in specifying the process flow structure.


==Original Abstract Submitted==

A non-transitory computer-readable storage medium storing a flow generation program that causes at least one computer to execute a process, the process includes based on first metadata that corresponds to a first problem of processing flow generation, selecting a processing flow that corresponds to a second problem with second metadata with a certain similarity level with respect to the first metadata by referring to a memory that stores a plurality pieces of metadata and a plurality of processing flows that correspond to each of a plurality of problems, the plurality of problems including the first problem and the second problem; and specifying a tree structure of the process flow that corresponds to the first problem based on genetic programming that uses the selected processing flow as an initial individual.



[[Category:G06F17/11]]