US Patent Application 17751910. AGENT-SIDE CHATBOT SIMULATOR WITH THROTTLING CAPABILITIES simplified abstract
Contents
AGENT-SIDE CHATBOT SIMULATOR WITH THROTTLING CAPABILITIES
Organization Name
Inventor(s)
Ramakrishna R. Yannam of The Colony TX (US)
Martin Goettmann of Flower Mound TX (US)
AGENT-SIDE CHATBOT SIMULATOR WITH THROTTLING CAPABILITIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17751910 titled 'AGENT-SIDE CHATBOT SIMULATOR WITH THROTTLING CAPABILITIES
Simplified Explanation
- This patent application describes an application that simulates the behavior of a human agent in a chatbot testing environment. - The application can control the amount and speed of data processed by the chatbot system to test its capabilities. - The application can determine how much data the chatbot system can handle and how quickly it can process a target volume of data. - The application can create different agent profiles for simulating conversations with varying response times. - The application does not handle chat session management to minimize resource consumption.
Original Abstract Submitted
This application describes apparatus and methods for an agent-side simulator for testing chatbot systems. The agent-side simulator may be configured to mimic behavior of a human agent in a chatbot testing environment. The agent-side simulator may throttle the amount of data and the frequency of speed at which the data is processed by components of the chatbot system. The agent-side simulator may test how much data that can be processed by a chatbot system and the speed which a target volume of data can be processed by the chatbot system. The agent-side simulator may build an agent profiles for different chat conversations. A first agent profile may be used to simulate conversations that require slower response times. A second agent profile may be used to simulate conversations that require faster response times. The agent-side simulator may not perform chat session handling to minimize computing resources consumed by the agent-side simulator.
