Other

Arthur A. Collins, Inc.

Lemelson Medical, Education and Research Foundation, LP

Robert D Pedersen

Jerome H Lemelson

John H Hiett

Steven R Pedersen

Tracy D Blake

Dorothy Lemelson

Jerome H Lemelson, Deceased

By Dorothy Lemelson, Executrix

Arthur A Collins

John C Bellamy, Ii

Jon W Bayless, Sr

Dorothy Lemelson, Legal Representative

A dynamic, distributed directed activity network comprising a directed activity control program specifying tasks to be executed including required individual task inputs and outputs, the required order of task execution, permitted parallelism in task execution, task adjacency to subsequent tasks, and reachability from each task to other tasks; a plurality of task execution agents, individual of said agents having a set of dynamically changing agent attributes and capable of executing different required tasks; a plurality of task execution controllers, each controller associated with one or more of the task execution agents with access to dynamically changing agent attributes; a directed activity controller for communicating with said task execution controllers for directing execution of said activity control program; and, a communications network supporting communication between said directed activity controller and task execution controllers for directing execution of said directed activity control program using selected task execution agents.

Distributed activity control systems for artificial intelligence task execution direction including task adjacency and reachability analysis

The present invention provides specific systems, methods and algorithms based on artificial intelligence expert system technology for determination of preferred routes of travel for electric vehicles (EVs). The systems, methods and algorithms provide such route guidance for battery-operated EVs in-route to a desired destination, but lacking sufficient battery energy to reach the destination from the current location of the EV. The systems and methods of the present invention disclose use of one or more specifically programmed computer machines with artificial intelligence expert system battery energy management and navigation route control. Such specifically programmed computer machines may be located in the EV and/or cloud-based or remote computer/data processing systems for the determination of preferred routes of travel, including intermediate stops at designated battery charging or replenishing stations. Expert system algorithms operating on combinations of expert defined parameter subsets for route selection are disclosed. Specific fuzzy logic methods are also disclosed based on defined potential route parameters with fuzzy logic determination of crisp numerical values for multiple potential routes and comparison of those crisp numerical values for selection of a particular route. Application of the present invention systems and methods to autonomous or driver-less EVs is also disclosed.

Systems and methods using artificial intelligence for routing electric vehicles

IOT Big Data information management and control systems and methods for distributed performance monitoring and critical network fault detection comprising a combination of capabilities including: IOT data collection sensor stations receiving sensor input signals and also connected to monitor units providing communication with other monitor units and/or cloud computing resources via IOT telecommunication links, and wherein a first data collection sensor station has expert predesignated other network elements comprising other data collection sensor stations, monitor units, and/or telecommunications equipment for performance and/or fault monitoring based on criticality to said first data collection sensor station operations, thereby extending monitoring and control operations to include distributed interdependent or critical operations being monitored and analyzed throughout the IOT network, and wherein performance and/or fault monitoring signals received by said first data collection sensor station are analyzed with artificial intelligence, hierarchical expert system algorithms for generation of warning and control signals.

Internet of things (IOT) big data artificial intelligence expert system information management and control systems and methods

Multicast expert system information dissemination systems and methods making use of artificial intelligence are provided. The systems and methods include a wireless device for receiving RF multicast information messages from a content provider wherein said information is descriptive of objects potentially of interest to users of the device. Received multicast messages may include information parameters about objects of potentially interest to the user. The wireless device also includes a knowledge base prestored in the wireless device descriptive of the user's level of interest in various objects. Artificial intelligence expert system control is used to evaluate a combination of the user's level of interest in the object information and distance from the user to the location where the object may be obtained. The artificial intelligence expert system derives a user advisory action index. In one embodiment the artificial intelligence may be implemented using fuzzy logic inference engine apparatus.

Multicast expert system information dissemination system and method

Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods comprising at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability further comprising one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and/or passengers including activities related to the use of cellular telephones and/or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the motor vehicle driver use of a cellular telephone and/or other wireless communication devices.

Motor vehicle artificial intelligence expert system dangerous driving warning and control system and method

IoT Big Data information management and control systems and methods for distributed performance monitoring and critical network fault detection comprising a combination of capabilities including: IoT data collection sensor stations receiving sensor input signals and also connected to monitor units providing communication with other monitor units and/or cloud computing resources via IoT telecommunication links, and wherein a first data collection sensor station has expert predesignated other network elements comprising other data collection sensor stations, monitor units, and/or telecommunications equipment for performance and/or fault monitoring based on criticality to said first data collection sensor station operations, thereby extending monitoring and control operations to include distributed interdependent or critical operations being monitored and analyzed throughout the IoT network, and wherein performance and/or fault monitoring signals received by said first data collection sensor station are analyzed with artificial intelligence, hierarchical expert system algorithms for generation of warning and control signals.

Growing community of inventors

Dallas, TX, United States of America

Robert D Pedersen