International business machines corporation (20240194194). SYNTHESIS OF PERSONALIZED CONVERSATIONAL AUTOMATION AGENTS simplified abstract

SYNTHESIS OF PERSONALIZED CONVERSATIONAL AUTOMATION AGENTS

Organization Name

international business machines corporation

Inventor(s)

Praveen Venkateswaran of Cambridge MA (US)

Nigel Steven Fernandez of Sunderland MA (US)

Yara Rizk of Cambridge MA (US)

Vatche Isahagian of Belmont MA (US)

Vinod Muthusamy of Austin TX (US)

SYNTHESIS OF PERSONALIZED CONVERSATIONAL AUTOMATION AGENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240194194 titled 'SYNTHESIS OF PERSONALIZED CONVERSATIONAL AUTOMATION AGENTS

Simplified Explanation: This patent application describes a method, computer system, and computer program product for software agent synthesis. The technology involves generating training examples from historical data and software agents, training a language model to synthesize a software agent based on natural language input, monitoring for user inputs, synthesizing software agents based on user inputs, and executing the new software agents to carry out tasks.

• Key Features and Innovation:

   - Generation of training examples from historical data and software agents
   - Training a language model to synthesize software agents based on natural language input
   - Monitoring for user inputs and synthesizing software agents based on these inputs
   - Execution of new software agents to carry out tasks

• Potential Applications:

   - Natural language processing
   - Task automation
   - Virtual assistants

• Problems Solved:

   - Simplifying the process of creating software agents
   - Enhancing user interaction with software systems
   - Improving task automation efficiency

• Benefits:

   - Increased user-friendliness of software systems
   - Enhanced automation capabilities
   - Improved user experience

• Commercial Applications:

   - Virtual assistant technology for customer service
   - Automation of repetitive tasks in various industries
   - Integration into smart home devices for voice-controlled operations

• Prior Art:

   - Researchers in the field of natural language processing and artificial intelligence
   - Companies developing virtual assistant technologies

• Frequently Updated Research:

   - Advances in natural language processing algorithms
   - Improvements in language model training techniques

Questions about Software Agent Synthesis:

1. How does software agent synthesis improve user interaction with technology? 2. What are the potential limitations of using natural language input for software agent synthesis?

Original Abstract Submitted

according to one embodiment, a method, computer system, and computer program product for software agent synthesis is provided. the present invention may include generating one or more training examples from historical data and software agents; training, using the on the one or more training examples, a language model to synthesize a software agent based on a natural language input from a user; monitoring, using one or more input devices, for one or more natural language user inputs; responsive to identifying one or more natural language user inputs, synthesizing, using the trained language model, one or more software agents based on the one or more natural language user inputs; execute the one or more new software agents to carry out one or more tasks invoked by the one or more natural language user inputs.