Distributed Actor Coordination for Automated Web Information Gathering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional machine-to-machine communication is limited by non-standardized application programming interfaces (APIs) designed for human interpretability, preventing effective automated and distributed information processing across online web resources.
Innovation Solution
A computer-implemented method utilizing distributed actors that offer skills to address unfulfilled needs, enabling them to review previous content provided by users to better fulfill those needs, and interact with sub-actors to generate bespoke responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional APIs are used for machine-to-machine communication, then human interpretability is maintained, but automated and distributed information processing is prevented
Solution Approach 1:
The system segments web resources into discrete, machine-interpretable data elements that can be independently processed and communicated between machines. This segmentation allows automated systems to access and manipulate specific data components without requiring human-readable formatting, thereby enabling automated information processing while maintaining the ability to present information in human-readable forms when needed.
Solution Approach 2:
Instead of designing communication protocols for human interpretation and then attempting automation, the system inverts the approach by creating machine-interpretable data structures first, which can then be automatically processed and subsequently presented to humans when required. This inversion fundamentally enables automated machine-to-machine communication while preserving human interpretability as a secondary capability.
2Adaptability or versatility
If conventional APIs are used for machine-to-machine communication, then application-specific functionality is provided, but standardized automated communication is prevented
Solution Approach 1:
The system creates a universal data structure and communication protocol that can serve multiple applications and purposes. By defining standardized, machine-interpretable data elements that can represent various types of information, the system enables a single communication framework to handle diverse application-specific functionalities without requiring separate protocols for each application, thereby reducing overall system complexity.
3Ease of operation
If websites are designed for human interpretation, then user navigation is enabled, but automated data gathering is prevented
Solution Approach 1:
The system introduces an intermediary layer of machine-interpretable data structures that sits between the human-readable website content and automated processing systems. This intermediary layer allows automated agents to efficiently access and process data without directly interacting with human-oriented website interfaces, thereby enabling automated data gathering while preserving the website's primary function of human user navigation.
Data Source
AI summary
A computer-implemented method, computer program product and computing system for maintaining a group of distributed actors, wherein each of the distributed actors offers at least one skill; receiving a request from a user concerning a unfulfilled need; assigning one or more distributed actors to address the unfulfilled need based, at least in part, upon the at least one skill offered by the one or more distributed actors, thus defining one or more assigned distributed actors; and enabling the one or more assigned distributed actors to review previous content provided by the user so that the one or more assigned distributed actors may better address the unfulfilled need.