Toyota Motor Engineering & Manufacturing North America, Inc.

Toyota Technical Center, U.s.a., Inc.

University of Connecticut

Shunsuke Chigusa

Krishna Pattipatti

Liu Qiao

Jianhui Luo

A system and method of intelligent agent management within a vehicle intelligent agent system includes a host system, an overseer agent, and an agent that are all in communication via a communications network. The system includes an executable overseer agent management program that uses the identification code of the agent to determine if the agent identification code has been copied and deletes the agent from the intelligent agent system if the agent identification code has been copied. If the agent identification code has not been copied, the agent gathers new information, and the information in the agent knowledge database is updated using the new information and the updated information is transferred from the agent knowledge database to the overseer agent knowledge database. The overseer agent checks the validity of the transmitted information, and agent is deleted and a new agent is generated if the learned information is not valid.

System and method of intelligent agent management using an overseer agent for use in vehicle diagnostics

A system and method of intelligent agent identification for a vehicle is provided. The method including the steps of a host computer system selecting an intelligent agent and determining a slave system to receive the intelligent agent. The host system encrypts a work activity to be performed by the agent, and predetermined host identification information, and programs the encrypted work activity and predetermined host information into the selected agent. The methodology randomly generates an identification code for the selected agent and programs the code into the selected agent. The selected agent is transmitted to the selected slave system via a communication network. The slave computer system decodes the host information and agent identification code carried by the agent, and determines if the decoded host information matches corresponding host identification information stored in memory of the slave computer system. The agent is denying access to the slave computer system if the decoded host information does not correspond. The methodology continues to check the agent identity by determining if the decoded agent identification code matches a predetermined identification code stored in the memory of the slave computer system. The agent is denied access to the slave computer system if there is no match, and is allow access to the slave computer system if the decoded agent identification information matches the predetermined identification code stored in the memory of the slave computer system.

System and method of intelligent agent identification for vehicle diagnostics

A system and method of intelligent agent management using an agent interface within a vehicle intelligent agent system is provided. The system includes a host system, and a local system in communication with the host system via a communications means. The system includes an intelligent agent that carries instructions or information regarding a task to be performed by the agent. The system further includes an interface having a processor and memory. The methodology includes the steps of the interface facilitating the transfer of instructions carried by the agent to the interface, copying predetermined information from the host system database into the interface memory, and assembling, by the interface processor, the agent instructions and stored information. The methodology further includes the steps of transferring the assembled instructions from the interface to the local processor, and transferring the assembled instructions from the local processor to the agent for execution.

System and method of intelligent agent management using an agent interface for use in vehicle diagnostics

Systems and methods are provided for monitoring, diagnosis and condition-based maintenance of mechanical systems. The disclosed systems and methods employ intelligent model-based diagnostic methodologies to effectuate such monitoring, diagnosis and maintenance. According to exemplary embodiments of the present disclosure, the intelligent model-based diagnostic methodologies combine or integrate quantitative (analytical) models and graph-based dependency models to enhance diagnostic performance. The disclosed systems and methods may be employed a wide variety of applications, including automotive, aircraft, power systems, manufacturing systems, chemical processes and systems, transportation systems, and industrial machines/equipment.

Intelligent model-based diagnostics for system monitoring, diagnosis and maintenance

A system and method of intelligent agent self-repair for an intelligent agent system in a vehicle is provided that includes a host system in communication with an intelligent agent via a communications network. An executable software program verifies if the agent work procedure list matches a corresponding work procedure list for the agent that is stored in the memory of the host system. Execution of the agent work procedure list by the agent is ceased and the agent is repaired by transmitting a new work procedure list to the agent from the host information database, if the agent work procedure list is not verified. The agent continues to execute the work instructions if the agent work procedure list is verified or the agent is repaired.

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Arlington, MA, United States of America

Shunsuke Chigusa