Abstract: A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Abstract: A system for representing a set of operating states of a vehicle to a user of the vehicle includes a vehicle having a vehicle operating state, and a digital twin receiving vehicle parameter data from one or more inputs to determine the vehicle operating state. An interface for the digital twin presents the vehicle operating state to the user of the vehicle. An identity management system manages a set of identities and roles of the vehicle user and determines capabilities to view, modify, and configure the digital twin based on parsing of the set of identities and roles.

Abstract: A system for representing attributes in a transportation system digital twin includes a digital twin datastore and one or more processors. The digital twin datastore stores a transportation-system digital twin including real-world-element digital twins embedded therein. The transportation system digital twin corresponds to a transportation system. Each real-world-element digital twin provides a digital twin of a respective real-world element that is disposed within the transportation system. The real-world-element digital twins include mobile-element digital twins. Each mobile-element digital twin provides a digital twin of a respective mobile element within the real-world elements.

Abstract: A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Abstract: A system for selection and configuration of a robotic process includes a data input module to receive a stream of inputs relating to a user engaged in a task of interest, an input analysis module to analyze the stream of inputs and provide a series of timestamped actions and associated action parameters, and a component selection module to select a component of an AI solution for use in an automated robotic process, based on, at least in part, an action of the series of actions, the associated action parameters, or the components ability to simulate one or more of the actions in the series of actions.

Abstract: A method for selection and configuration of an automated robotic process includes receiving a temporal biometric measurement of a worker performing a task, receiving a spatial-temporal environmental input provided to the worker, identifying a type of reasoning used when performing the task partially based on the temporal biometric measurement of the worker, selecting a component of an AI solution to replicate the type of reasoning, and configuring the component of the AI solution based on the spatial-temporal environmental input. The temporal biometric measurement includes a set of spatial-temporal imaging data of a brain of the worker and identifying the type of reasoning includes identifying a set of spatial-temporal neocortical activity patterns of the worker, identifying an active area of a neocortex of the worker; and selecting the component of the AI solution partially based on the identified active area of the neocortex.

Abstract: A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

Abstract: Systems and methods for configuring and launching a marketplace are described. A method may include identifying an opportunity for a new marketplace, receiving marketplace opportunity data, determining configuration parameters, and determining a feasibility of implementing the new marketplace configuration. An architecture of the new marketplace may be determined, and marketplace objects configured. Data resources and their configuration in a model may be determined and the data resources connected to marketplace objects. The new marketplace may then be launched.

Abstract: A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Abstract: A system for selection and configuration of a robotic process includes a data input module to receive a stream of inputs relating to a user engaged in a task of interest, an input analysis module to analyze the stream of inputs and provide a series of timestamped actions and associated action parameters, and a component selection module to select a component of an AI solution for use in an automated robotic process, based on, at least in part, an action of the series of actions, the associated action parameters, or the components ability to simulate one or more of the actions in the series of actions.

Abstract: A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Abstract: Systems and methods for configuring and launching a marketplace are described. A method may include identifying an opportunity for a new marketplace, receiving marketplace opportunity data, determining configuration parameters, and determining a feasibility of implementing the new marketplace configuration. An architecture of the new marketplace may be determined, and marketplace objects configured. Data resources and their configuration in a model may be determined and the data resources connected to marketplace objects. The new marketplace may then be launched.

Abstract: A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

Abstract: A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Abstract: A system for selection and configuration of a robotic process includes a data input module to receive a stream of inputs relating to a user engaged in a task of interest, an input analysis module to analyze the stream of inputs and provide a series of timestamped actions and associated action parameters, and a component selection module to select a component of an AI solution for use in an automated robotic process, based on, at least in part, an action of the series of actions, the associated action parameters, or the components ability to simulate one or more of the actions in the series of actions.

Abstract: A method for selection and configuration of an automated robotic process includes receiving a temporal biometric measurement of a worker performing a task, receiving a spatial-temporal environmental input provided to the worker, identifying a type of reasoning used when performing the task partially based on the temporal biometric measurement of the worker, selecting a component of an AI solution to replicate the type of reasoning, and configuring the component of the AI solution based on the spatial-temporal environmental input. The temporal biometric measurement includes a set of spatial-temporal imaging data of a brain of the worker and identifying the type of reasoning includes identifying a set of spatial-temporal neocortical activity patterns of the worker, identifying an active area of a neocortex of the worker; and selecting the component of the AI solution partially based on the identified active area of the neocortex.

Abstract: A method for selection and configuration of an automated robotic process includes: receiving a temporal biometric measurement of a worker performing a task; receiving a spatial-temporal environmental input provided to the worker; identifying a type of reasoning used when performing the task based, at least in part, on the temporal biometric measurement; selecting a component of an AI solution to replicate the type of reasoning; and configuring the component of the AI solution based on the spatial-temporal environmental input. The biometric measurement may include a set of spatial-temporal imaging data of a brain of the worker and identifying the type of reasoning may include identifying a set of spatial-temporal neocortical activity patterns of the worker and identifying an active area of a neocortex. The selecting the component of the AI solution may be based, at least in part, on the identified active area of the neocortex.