International business machines corporation (20240103817). BEHAVIOR TREE-BASED SCRIPT GENERATION AND RECOMMENDATION simplified abstract

From WikiPatents
Jump to navigation Jump to search

BEHAVIOR TREE-BASED SCRIPT GENERATION AND RECOMMENDATION

Organization Name

international business machines corporation

Inventor(s)

Jing Zhao of Beijing (CN)

Xiao Yun Wang of Beijing (CN)

Si Yu Chen of Beijing (CN)

Jiang Yi Liu of Beijing (CN)

Jiangang Deng of Beijing (CN)

BEHAVIOR TREE-BASED SCRIPT GENERATION AND RECOMMENDATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240103817 titled 'BEHAVIOR TREE-BASED SCRIPT GENERATION AND RECOMMENDATION

Simplified Explanation

The abstract describes a method, system, and computer program product for generating and recommending scripts from behavior trees. The method involves receiving input commands, parsing them into command parts, normalizing the commands, generating behavior trees based on the normalized commands, and creating command scripts from the behavior trees.

  • Input commands are received within a programming interface.
  • The input commands are parsed into command parts.
  • The commands are normalized based on the command parts.
  • Behavior trees are generated based on the normalized commands and parts.
  • Command scripts are generated from the behavior trees.

Potential Applications

This technology could be applied in various fields such as software development, robotics, and automation systems.

Problems Solved

This technology helps in automating script generation and recommendation processes, saving time and effort for programmers and developers.

Benefits

The technology streamlines the script generation process, improves efficiency, and enhances the overall productivity of development teams.

Potential Commercial Applications

One potential commercial application of this technology could be in software development tools, where it could be integrated to assist developers in creating scripts more effectively.

Possible Prior Art

Prior art in this field may include existing systems or methods for script generation and recommendation, although specific examples are not provided in the abstract.

Unanswered Questions

How does the system handle complex input commands with multiple dependencies?

The abstract does not delve into the specifics of how the system manages intricate input commands that may have interdependencies.

What is the scalability of the system when dealing with a large number of input commands?

The abstract does not address the scalability of the system when handling a significant volume of input commands and generating corresponding scripts.


Original Abstract Submitted

a method, system, and computer program product for script generation and recommendation from behavior trees are provided. the method receives a set of input commands within a programming interface. the set of input commands is parsed into a set of command parts. the set of input commands is normalized based on the set of command parts to generate a set of normalized commands. a set of behavior trees are generated based on the set of normalized commands and the set of parts. the method generates a set of command scripts based on the set of behavior trees.