A system for aiding in the probation, parole, and social reentry of a justice-involved person (JIP) is provided. The system may be used by both the probation and parole officers, and other justice team members (referred to generally as the justice team), as well as the justice-involved person to better connect JIPs to local services and for engagement and progress tracking.

A system software and method which relates to the field of computing technology or business process models or computer systems or distributed computer systems or computer networks relating to general purpose devices that can be programmed to carry out a set of data table or hash table updates, validations or modifications supporting, enabling or executing public and private services, financial transactions and commercial applications. More specifically, the present invention is directed to distributed and decentralized computing in which said distributed network is supported and encrypted by cryptographic technology, hash functions and distributed public or private keys or other related technology. System and methods for managing dynamic electronic documents on a private distributed ledger comprise establishing a dynamic electronic document comprising a first state object, wherein the state object references a prior approved first transaction; proposing a second transaction comprising as an input the first state object and as an output a transaction command to alter the state object as well as what parameters are required to validate the second transaction; validating the proposed second transaction; and updating the state object on a private distributed ledger to reference the second transaction.

This disclosure relates to the field of recommendation of learning competencies. The usage of competency-based learning platforms is growing as it provides a safe learning environment where learners/users can learn from the comfort of their homes at a convenient time. However, one of the challenges with competency-based learning platforms is to identify learning competencies/courses relevant to a learner as exhaustive material is available on the internet. The disclosure addresses the challenges by providing techniques for personalized recommendation of cognitive based learning competencies and skill based learning competencies. The disclosed techniques recommend cognitive based learning competencies and skill based learning competencies based on several techniques that include a machine learning, Natural Language Processing (NLP), a skill based recommendation technique and a collaborative cognitive recommendation technique. Hence the disclosure is an approach to enable a learner to assess the learner's current competencies and identify learning competencies required for a desired role.

This disclosure relates to the field of recommendation of learning competencies. The usage of competency-based learning platforms is growing as it provides a safe learning environment where learners/users can learn from the comfort of their homes at a convenient time. However, one of the challenges with competency-based learning platforms is to identify learning competencies/courses relevant to a learner as exhaustive material is available on the internet. The disclosure addresses the challenges by providing techniques for personalized recommendation of cognitive based learning competencies and skill based learning competencies. The disclosed techniques recommend cognitive based learning competencies and skill based learning competencies based on several techniques that include a machine learning, Natural Language Processing (NLP), a skill based recommendation technique and a collaborative cognitive recommendation technique. Hence the disclosure is an approach to enable a learner to assess the learner's current competencies and identify learning competencies required for a desired role.

An artificial intelligence machine may quickly generate a comprehensive virtual patient interview database based on limited input from a case author. The comprehensive virtual patient interview database may include a list of topics and a set of items. Each item may be related in the database to one of the topics and may include one or more questions and one or more patient responses to each question. The artificial intelligence machine may include a data storage system that stores a universal medical taxonomy database that includes a list of topics and a set of items, each item being related in the database to one of the topics and including one or more questions and one or more default responses to each question; a user interface for receiving the limited input from the case author, the limited input including descriptive attributes of a real or fictitious patient; and a data processing system that includes one or more processors and that generates the comprehensive virtual patient interview database by modifying one or more of the default responses in the universal medical taxonomy database based on the descriptive attributes.

An artificial intelligence machine may quickly generate a comprehensive virtual patient interview database based on limited input from a case author. The comprehensive virtual patient interview database may include a list of topics and a set of items. Each item may be related in the database to one of the topics and may include one or more questions and one or more patient responses to each question. The artificial intelligence machine may include a data storage system that stores a universal medical taxonomy database that includes a list of topics and a set of items, each item being related in the database to one of the topics and including one or more questions and one or more default responses to each question; a user interface for receiving the limited input from the case author, the limited input including descriptive attributes of a real or fictitious patient; and a data processing system that includes one or more processors and that generates the comprehensive virtual patient interview database by modifying one or more of the default responses in the universal medical taxonomy database based on the descriptive attributes.

Systems and methods to correlate user behavior patterns within an online game with psychological attributes of users exhibiting the user behavior patterns are disclosed. Exemplary implementations may: store user information associated with the individual users including assignments of the individual users to individual ones of different cohorts of users, wherein the different cohorts are associated with different psychological profiles, where a given psychological profile is defined by multiple psychological parameter values, and the users are assigned to the different cohorts based on the psychological parameter values; obtain performance information that characterizes performances of user behavior patterns by the individual users; and determine correlations between individual ones of the performances of the user behavior patterns and individual ones of the psychological parameters based on the obtained user behavior patterns, the assignments of the users to the cohorts, and commonalities in the psychological profiles of the users within the individual cohorts.

Systems and methods to correlate user behavior patterns within an online game with psychological attributes of users exhibiting the user behavior patterns are disclosed. Exemplary implementations may: store user information associated with the individual users including assignments of the individual users to individual ones of different cohorts of users, wherein the different cohorts are associated with different psychological profiles, where a given psychological profile is defined by multiple psychological parameter values, and the users are assigned to the different cohorts based on the psychological parameter values; obtain performance information that characterizes performances of user behavior patterns by the individual users; and determine correlations between individual ones of the performances of the user behavior patterns and individual ones of the psychological parameters based on the obtained user behavior patterns, the assignments of the users to the cohorts, and commonalities in the psychological profiles of the users within the individual cohorts.

A method executed by a computing device includes generating a virtual reality environment by detecting an illustrative asset common to first and second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and the first set of assets to produce 3-D frames of a first descriptive asset for issuance to a another computing device using an illustration approach. The method further includes rendering the three-dimensional (3-D) model of the illustrative asset and the second set of assets to produce 3-D frames of a second descriptive asset for issuance to the other computing device using an updated illustration approach.

This disclosure generally covers systems and methods that provide guidance to create an electronic survey. In some embodiments, the systems and methods identify and provide a suggested survey topic—with a corresponding option to create an electronic survey—based on user input. In some embodiments, the systems and methods identify and provide one or more suggested electronic survey questions based on user input. In such embodiments, the systems and methods provide, for example, components of suggested electronic survey questions, previously composed and benchmarking electronic survey questions, or suggested revisions to electronic survey questions. In addition, the systems and methods can provide entire premade electronic surveys based on receiving user input from a survey administrator.