Abstract: Methods and systems are provided for processing natural language for machine learning analytical systems. The method includes receiving, at a processor, an input including text representing one or more observed parameters of an environment. The inputted text is in a natural language format. The processor parses the input and extracts the one or more parameters. A function is defined representing a domain of the one or more observed parameters based upon the one or more extracted parameters.

Abstract: A computer-based method for analyzing the costs of agent's behaviors is described. The method includes storing data relating to a previously observed behavior of at least one of an agent of interest and at least one agent that can be assumed to hold similar utilities to the agent of interest, such that an agent class is defined, deriving with a processing device and based on the stored data, a resolving utility function, and observing a sequence of behavior of the agent of interest. The method also includes inputting the observed behavior sequence to an analyzer, deriving with a processing device and based on the observed sequence of behavior, a set of costs that the agent of interest incurred for their observed behavior, and comparing the resolving utility function derived from stored data to the set of costs derived from the observed sequence of behavior to determine anomalous behavior.

Abstract: A computer-based method for analyzing the incentives and predicting the future actions of agents is described. The method includes storing, in a computer memory, data relating to previously observed behavior of at least one of an agent of interest and agents that can be assumed to hold similar utilities to the agent of interest, thereby defining an agent class, deriving with a processing device and based on the stored data, a set of unique incentives that agents in the agent class would have to hold for their observed behavior to be considered rational by an observer of the behavior, observing a short sequence of behavior of the agent of interest, inputting the observed behavior sequence to an analyzer, deriving specific goals of the agent driving that behavior instance, and predicting future actions of the agent of interest based on a maximization of reward for the agent of interest and the derived goals, the reward based on the derived incentives.

Abstract: In one advantageous embodiment, a method is provided for managing data. Information about the plurality of components is identified using data to form a plurality of instances for a plurality of nodes in response to receiving data for a plurality of components. Each node in the plurality of nodes corresponds to a component in the plurality of components. A number of variables having a range of values are formed to form a data structure. Each value in the range of values indicates a point in time at which a change to the information for a node occurs between a first instance and a second instance in the plurality of instances. More than one change between two consecutive instances is absent. The data structure is used to identify probability information about the plurality of components associated with the plurality of nodes.

Abstract: In one advantageous embodiment, a method is provided for managing data. Information about the plurality of components is identified using data to form a plurality of instances for a plurality of nodes in response to receiving data for a plurality of components. Each node in the plurality of nodes corresponds to a component in the plurality of components. A number of variables having a range of values are formed to form a data structure. Each value in the range of values indicates a point in time at which a change to the information for a node occurs between a first instance and a second instance in the plurality of instances. More than one change between two consecutive instances is absent. The data structure is used to identify probability information about the plurality of components associated with the plurality of nodes.

Abstract: In one advantageous embodiment, a method is provided for managing data. Information about the plurality of components is identified using data to form a plurality of instances for a plurality of nodes in response to receiving data for a plurality of components. Each node in the plurality of nodes corresponds to a component in the plurality of components. A number of variables having a range of values are formed to form a data structure. Each value in the range of values indicates a point in time at which a change to the information for a node occurs between a first instance and a second instance in the plurality of instances. More than one change between two consecutive instances is absent. The data structure is used to identify probability information about the plurality of components associated with the plurality of nodes.