Layered Bot Coordination for Precise High-Throughput User Queries
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Solution Overview
Problem
User access to robotic information servers and analysis engines is limited by the complexity of relationships between information robots, with precision-tuned bots requiring high user sophistication and user-friendly bots being limited in precision, leading to suboptimal throughput.
Innovation Solution
A hybrid robotic information services architecture that combines a shallow, fast user-facing bot with artificial intelligence research support bots, allowing for the selection of support bots based on user inquiries and initiating conversations to gather information efficiently, using a web socket interface and proprietary AI protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precision-tuned bots are used, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent introduces an intermediary layer between the user and the precision-tuned bots. This intermediary handles complex interactions, natural language processing, and coordination with multiple support bots, shielding users from the complexity while maintaining access to high-precision information gathering capabilities.
Solution Approach 2:
The system segments the bot architecture into multiple specialized components: a main bot that interfaces with users, multiple support bots with specific functions (search, analysis, data gathering), and a coordination layer. This segmentation allows each component to be optimized for its specific task while the overall system remains user-friendly.
2Ease of operation
If user-friendly bots are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent merges multiple bot types and functions into a unified system. The user-friendly main bot is combined with multiple precision-oriented support bots, allowing the system to maintain ease of operation while accessing high-precision capabilities through the coordinated action of multiple specialized agents.
3Measurement precision
If complex bot relationships are implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces coordination mechanisms and intermediary layers that manage the complexity of bot relationships. These intermediaries handle task distribution, information routing, and coordination between multiple bots, reducing the apparent complexity while maintaining precise information gathering capabilities.
4Measurement precision
If precision-tuned bots are used, then measurement precision is improved, but productivity deteriorates
Solution Approach 1:
The system segments information gathering tasks across multiple specialized support bots that can operate in parallel. This segmentation allows the system to maintain high precision through specialized agents while improving throughput by distributing work across multiple concurrent processes rather than sequential operations.
Solution Approach 2:
The system implements periodic status checks and iterative information gathering cycles. The main bot periodically coordinates with support bots, checks conversation status, and aggregates information in structured cycles, maintaining precision through methodical processes while achieving high throughput through efficient resource utilization and parallel operations.
Data Source
AI summary
Apparatus and methods for gathering information from layered bots. The apparatus may be configured to run an instance of a user-facing bot. The platform may be configured to send to a selected support bot a back-end query. The platform may be configured to receive from the selected support bot an “OPEN” conversation status for the conversation. The platform may be configured to receive, after receiving the “OPEN” conversation status: a response to the back-end query; and a status update for the conversation status. The status update may be “WAITING”. The platform may be configured to repeat (a) through (c) below until the status update is “CLOSED”: (a) acquire from the user a responsive supplemental fact; (b) transmit to the contact bot the responsive supplemental fact; (c) receive from the contact bot: a response to the supplemental fact; and a status update for the conversation status.


