Virtual Assistant Dialogue Orchestration via Behavior Trees
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Solution Overview
Problem
Existing virtual assistant (VA) software lacks advanced, dynamic decision-making and response generation capabilities, leading to reduced accuracy and effectiveness in handling user queries and situations, which limits the overall user experience.
Innovation Solution
The implementation of behavior trees as a decision-making engine in VA software, allowing for dynamic conversation orchestration by traversing a tree structure that represents possible VA behaviors, enabling the software to understand user requests without explicitly defining intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If scripted intent-based VA software is used, then the system structure is simple and easy to implement, but the decision-making capability and adaptability are reduced
Solution Approach 1:
The patent applies dynamics by transitioning from static scripted intent structures to dynamic behavior trees that can adapt during conversation. The behavior tree structure allows the VA to dynamically evaluate conditions and select different response paths based on real-time user input, enabling complex decision-making while maintaining a manageable system architecture through hierarchical organization of behaviors.
Solution Approach 2:
The patent segments the VA's decision-making process into discrete behavior nodes within a behavior tree structure. Each node represents a specific behavior or decision point, allowing the system to break down complex conversations into manageable segments. This segmentation enables the VA to handle diverse queries through modular behavior units rather than requiring a monolithic complex structure.
2Adaptability or versatility
If scripted intent structure is used, then the implementation is straightforward, but the software becomes difficult to change or scale as user needs evolve
Solution Approach 1:
The behavior tree structure provides dynamic scalability by allowing new behaviors and conditions to be added to the tree without reconfiguring the entire system. New user needs can be addressed by adding new nodes or modifying existing ones, enabling the VA to evolve with changing user requirements while maintaining the existing operational framework.
Solution Approach 2:
The behavior tree structure serves multiple functions simultaneously: it provides a framework for decision-making, a structure for organizing behaviors, and a scalable architecture for incorporating new capabilities. This universal structure can accommodate various types of user interactions and business logic through a single unified framework, making the system both adaptable and easy to modify.
3Reliability
If linear script analysis is used, then the processing speed is fast, but the accuracy and effectiveness in handling complex queries are reduced
Solution Approach 1:
The patent employs dynamic behavior evaluation within the behavior tree structure, allowing the VA to assess multiple conditions and select the most appropriate response path for each user query. This dynamic evaluation process improves accuracy by considering various factors and contexts rather than following a fixed linear script, while the hierarchical tree structure keeps the processing complexity manageable through organized decision nodes.
Data Source
AI summary
Methods and apparatuses for conversation dialogue orchestration in virtual assistant communication sessions include a server that establishes a chat session between a virtual assistant (VA) application and a client device. The VA application captures an utterance generated by a user and processes the utterance to instantiate a dialogue behavior tree comprising workflow agents each associated with executable code for completing a corresponding workflow action. The VA application traverses the behavior tree to generate a response to the utterance, including evaluating one or more conditions associated with a workflow agent to determine whether to execute the code in the workflow agent, and when the conditions associated with the workflow agent are met, executing the code to complete the workflow action and storing a sub-response in a dialogue memory. The VA application coalesces the sub-responses to generate a final response and transmits the final response to the client device.