6700536

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6700536 is a patent granted by the US Patent and Trademark Office that covers the construction and operation of an intelligent agent system. The patent describes a multi-level architecture for a system with virtual agents that can interact with users through conversation and other forms of communication, as well as performing automated tasks with human-like capabilities.

The 6700536 patent covers a variety of application fields, including web search, natural language processing, information retrieval, artificial intelligence, robotics, and computer vision. It also discusses the use of various machine learning techniques to enable intelligent agents to learn from their interactions with users.

The patent focuses on the various components of an intelligent agent system, including the interactive modules, the software modules, and the inference engine. The interactive modules provide the user interface for the system, allowing users to communicate with the agents, enter commands, and receive feedback. The software modules are responsible for executing tasks and providing feedback to the user. The inference engine is responsible for taking inputs from the user and attempting to determine an appropriate action for the agents to take.

The interactive modules use natural language processing (NLP) to determine the user’s intent from the conversation. NLP technology can also be used to provide contextual information for the agents to understand the user’s commands better. By understanding the spoken and written language, the agents will be able to better interact with the user.

The software modules are responsible for performing tasks with human-like capabilities. This includes tasks such as recognizing objects in images, recognizing names and faces, or recognizing patterns in data. The software modules use artificial intelligence (AI) algorithms to identify patterns and make decisions. These AI algorithms can also learn from their experiences and become better decision makers over time.

The inference engine is responsible for taking the user’s input and attempting to determine the best possible action for the agents to take. It uses machine learning algorithms to identify patterns and determine appropriate actions. These algorithms can also be used to learn from their experiences and become better decision makers over time.

The 6700536 patent covers a variety of application fields and working principles and is an important document for understanding how intelligent agent systems work. By understanding the components of these systems, developers can create their own intelligent agents, enabling them to provide more accurate and efficient services for their users. This patent is a major step forward in artificial intelligence and its implications for the future of automation.

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