Matrix-Based Bot Script Generation and Error Correction
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Solution Overview
Problem
Controlling the operation of bots to accurately and efficiently respond to user queries is challenging due to the complexity of conversation scenario matrices, which often include erroneous dependencies and layouts, leading to inefficient computer resource utilization and potential endless repetition of paths.
Innovation Solution
The implementation of a matrix-based bot system that analyzes conversation scenario matrices to generate and modify scripts and dependency paths, identifying and correcting errors such as unused responses and missing unique responses, thereby optimizing the conversation flow and minimizing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a bot follows a set of pre-specified questions and responses to respond to user queries, then the bot operation is simple to control, but the accuracy and efficiency of responding to queries deteriorates
Solution Approach 1:
The patent transforms the bot control approach by changing the structural parameters from linear pre-specified Q&A to a matrix-based conversation scenario structure. This matrix structure organizes conversation scenarios, questions, and responses in a multi-dimensional framework that improves response accuracy while maintaining controllability through systematic analysis of conversation flows and dependencies.
Solution Approach 2:
The patent segments the conversation control into distinct components: conversation scenarios, questions, responses, and dependency paths. By dividing the complex bot operation into these manageable segments that can be analyzed independently and recombined, the system achieves both accuracy in response generation and efficiency in resource utilization.
2Reliability
If a complex conversation scenario matrix is used to control bot operation, then the query response accuracy is improved, but the computer resource utilization deteriorates
Solution Approach 1:
The patent performs preliminary analysis of the conversation scenario matrix before bot operation, identifying and correcting erroneous dependencies and layouts in advance. By preparing and optimizing the matrix structure beforehand, the system eliminates the need for complex real-time computations during actual bot responses, significantly reducing computer resource utilization while maintaining high response accuracy.
3Adaptability or versatility
If the conversation scenario matrix contains erroneous dependencies and layouts, then the bot can handle diverse queries, but the efficiency of computer resource utilization deteriorates due to endless repetition of paths
Solution Approach 1:
The patent implements a feedback mechanism that analyzes the conversation scenario matrix to identify erroneous dependencies and layouts. By continuously monitoring and correcting these errors, the system prevents endless repetition of conversation paths while preserving the matrix's ability to handle diverse queries, thereby improving resource utilization efficiency without sacrificing adaptability.
Data Source
AI summary
In some examples, matrix based bot implementation may include obtaining, for a plurality of bots that are used to respond to a query, a matrix that includes entries including a plurality of scenarios, a plurality of questions corresponding to the plurality of scenarios, and a plurality of responses. Each response may correspond to a specified question. A plurality of scripts may be generated based on an analysis of the matrix. Each script may include at least one question followed by at least one response, and further followed by at least one scenario. For each script, a closest pre-existing script may be identified based on a comparison of the script to pre-existing scripts. For each script, a modification to the matrix may be generated based on a difference in the script from the closest pre-existing script. The bots may be utilized to respond to the query based on the modified matrix.