Natural-Language Electronic Actor Control for Varied Automated Actions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for controlling electronic actors require significant human effort and are not capable of producing a variety of actions based on the same human input, whether through manual control, trigger-based control, or programming-based control.
Innovation Solution
A computer-implemented system that uses a story written in natural language to automatically control electronic actors by parsing the story into a script and generating cue signals for the actors to perform actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If trigger-based control systems are used to automate electronic actor control, then some degree of automation is achieved, but the rules must be programmed manually which is tedious, time-consuming, and error-prone
Solution Approach 1:
The patent introduces a natural language processing intermediary that translates human-written stories into executable control rules for electronic actors. This mediator layer automatically generates the control logic without requiring manual programming, thus maintaining automation benefits while eliminating the time-consuming rule creation process.
Solution Approach 2:
The system enables self-service by allowing users to write stories in natural language that automatically generate and execute control rules. The system serves itself by autonomously converting narrative text into actionable control sequences, eliminating the need for manual rule programming while maintaining automated execution.
2Ease of operation
If programming-based control systems are used to eliminate live control, then flexibility and sophistication are improved, but significant time investment is required to learn and program
Solution Approach 1:
The patent replaces the mechanical system of learning programming languages and syntax with a natural language interface. Users can control electronic actors through storytelling in everyday language, eliminating the need to learn complex programming concepts while maintaining the flexibility and sophistication of programmed control systems.
Solution Approach 2:
The system changes the parameter of control language from formal programming syntax to natural language. This transformation maintains the capability for sophisticated control logic while dramatically reducing the time investment required, as users can express complex intentions using ordinary language rather than learning programming languages.
3Extent of automation
If trigger-based control systems are used, then automation is introduced, but the systems are rigid and cannot produce variety of actions from the same conditions
Solution Approach 1:
The patent introduces dynamics to the control system by enabling electronic actors to interpret and respond to story cues in multiple ways. Rather than rigid trigger-response pairs, the system allows for dynamic interpretation where the same story condition can lead to various actions based on the actor's understanding and context, thus maintaining automation while increasing versatility.
Data Source
AI summary
Computer-implemented systems and methods use a story to automatically control and coordinate electronic actors. The story may be written in a natural language (e.g., English), rather than a programming language or other language designed specifically to control machines. Embodiments of the present invention may parse the story into a script and generate cue signals based on the story. The cue signals are provided to the electronic actor(s), which may perform actions based on their interpretations of those cue signals. As a result, the story, the script, and the cue signals issued to the electronic actors do not deterministically dictate the actions performed by the electronic actors.