Abstract: Embodiments include a method and system for conducting human performance assessment comprising memory devices for accessing and storing historical data from multiple sources of unstructured and structured assessment source data for a subject. The unstructured assessment source data includes free-form source data. The system includes a computing system with a user interface presented on a digital display device to enter assessment query (AQ) relating to the subject. The system includes a natural language processing engine to process an unstructured data search model based on the AQ and a semantic reasoner engine to apply unstructured and structured data search model to the assessment domain ontology for the subject to measure human performance and at the same time identify performance gaps. The system includes an assessment report generator to generate a report of the performance and gap assessments wherein the report is configured to be displayed on the display device.

Abstract: One or more social interactive goals for an automated entity such as an avatar may be determined during a social interaction between the automated entity and a selected entity such as a human. Identity attributes of identity images from an identity model of the automated entity may be used to determine a set of behavioral actions the automated entity is to take for the determined goals. Paralanguage elements expressed for the automated entity via a user interface may be altered based on the determined set of behavioral actions. The automated entity may refer to a computer implemented automaton that simulates a human in the user interface of an interactive computing environment. By way of example, an avatar cybernetic goal seeking behavior may be implemented in accordance with an identity theory model.

Abstract: A method, apparatus and computer readable medium for visualizing an event from unstructured data is described, including generating a plurality of structured data units from a plurality of unstructured data, each structured data unit having a time value, an identity value, a location value and a behavior value; and generating a data structure comprising a sequence of the structured data units.

Abstract: One or more social interactive goals for an automated entity such as an avatar may be determined during a social interaction between the automated entity and a selected entity such as a human. Identity attributes of identity images from an identity model of the automated entity may be used to determine a set of behavioral actions the automated entity is to take for the determined goals. Paralanguage elements expressed for the automated entity via a user interface may be altered based on the determined set of behavioral actions. The automated entity may refer to a computer implemented automaton that simulates a human in the user interface of an interactive computing environment. By way of example, an avatar cybernetic goal seeking behavior may be implemented in accordance with an identity theory model.

Abstract: One or more social interactive goals for an automated entity such as an avatar may be determined during a social interaction between the automated entity and a selected entity such as a human. Identity attributes of identity images from an identity model of the automated entity may be used to determine a set of behavioral actions the automated entity is to take for the determined goals. Paralanguage elements expressed for the automated entity via a user interface may be altered based on the determined set of behavioral actions. The automated entity may refer to a computer implemented automaton that simulates a human in the user interface of an interactive computing environment. By way of example, an avatar cybernetic goal seeking behavior may be implemented in accordance with an identity theory model.

Abstract: A computer modeling and simulation framework for analysis automates selection of data, models and visualization outputs for providing an insight into a wide range of scenarios without a priori knowledge of the scenarios. The framework organizes the data and models through an ontology for the data and models. A challenge specification is entered by an analyst via a structured document or natural language input, wherein a reasoner processing component of the system selects relevant data sets and models based on the challenge specification and the data and model ontology. The system may provide confidence indications based on the quality of relevant models and data and executes the selected models using the selected data sets as inputs. Results are stored and visualized resulting data presented for the analyst. A visualization ontology enables the system to select an optimum visualization approach.