Federated Chatbot Query Routing for Anomaly Detection
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Solution Overview
Problem
Existing chatbot systems require users to repeatedly resubmit narrowed questions due to ambiguity in natural language queries, leading to inefficiencies in processing and resource utilization in computing environments.
Innovation Solution
A federated chatbot system that employs modular chatbots, where a master chatbot identifies and routes natural language queries to specific micro chatbots associated with monitored devices, allowing for anomaly detection and summary output in a user-friendly interface, thereby reducing processing resources and improving customizability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single centralized chatbot processes all natural language queries in a computing environment, then it can provide comprehensive responses to broad or ambiguous questions, but it increases processing resource consumption and reduces response accuracy for device-specific queries
Solution Approach 1:
The patent divides the centralized chatbot system into multiple specialized micro-chatbots, each responsible for specific devices or device types. This segmentation allows queries to be routed to the most relevant chatbot, improving response accuracy while distributing processing load across multiple lightweight agents rather than overwhelming a single centralized system.
Solution Approach 2:
The patent introduces a query routing mechanism that acts as an intermediary between the user's natural language query and the micro-chatbots. This mediator analyzes the query, identifies the relevant monitored device, and routes the query to the appropriate micro-chatbot, ensuring efficient resource utilization and accurate responses.
2Productivity
If multiple specialized chatbots are deployed for different devices, then processing resources are reduced and response accuracy is improved, but system complexity increases and requires query routing mechanisms
Solution Approach 1:
The patent creates a universal query routing mechanism that can handle diverse natural language queries across different device types. This multi-functional router analyzes various query formats, identifies relevant devices, and routes to appropriate micro-chatbots, managing system complexity through a standardized interface despite the diversity of specialized chatbots.
Solution Approach 2:
The system performs preliminary analysis of the natural language query to identify the intended monitored device before routing to specific micro-chatbots. This preliminary action simplifies the overall system architecture by pre-determining the routing path, reducing the complexity of real-time decision-making during query processing.
3Ease of operation
If users submit broad or ambiguous natural language queries, then the query can cover multiple device types, but the user must repeatedly resubmit narrowed questions to specific chatbots
Solution Approach 1:
The patent implements a feedback mechanism where the query routing system analyzes the user's natural language query, determines the most relevant micro-chatbot, and routes the query accordingly. This feedback loop ensures that even broad or ambiguous queries are efficiently directed to the appropriate specialist, eliminating the need for users to iteratively narrow their questions and reducing the time to obtain accurate responses.
Data Source
AI summary
Method and apparatus for improving ease of use, customizability, and functionality of computing devices via chatbots may be realized by processing a natural language query, by a first chatbot, to identify a monitored device in a computing environment that relates to the natural language query; transmitting the query to a second chatbot provided by the monitored device; receiving a response from the second chatbot identifying an anomaly observed on the monitored device; and outputting an user interface for display, the user interface comprising a natural language summary of the response.