Abstract: Systems and methods for controlling operations of a computer system. The methods comprises: collecting, by at least one computing device, information about events occurring in the computer system; performing automated ontogenesis operations by the at least one computing device using the collected information to determine a context of a given situation associated with the computer system, define parameters for a plurality of different sets of actions that could occur in the context of the given situation, and simulate the sets of actions to generate predicted consequences resulting from the performance of certain behaviors by nodes of the computer system; and using the parameters of at least one of the predicted consequences to control operations of the computer system.

Abstract: Systems and methods for controlling operations of a Computer System (“CS”). The methods comprise: collecting information about events occurring in CS; performing automated ontogenesis operations using the collected information to determine a context of a given situation associated with CS using stored ontogenetic knowledge, define parameters for different sets of actions that could occur in the context of the given situation, simulate the sets of actions to generate a set of simulation results defining predicted consequences resulting from the performance of certain behaviors by nodes of CS, select a best simulation result from the set of simulation results, and determine whether a system action specified by the best simulation result might cause an undesirable unintended consequence; and using the parameters associated with the best simulation result to optimize control and performance of CS, when a determination is made that the system action will not cause the undesirable unintended consequence.

Abstract: Systems and methods for controlling operations of a Computer System (“CS”). The methods comprise: collecting information about events occurring in CS; performing automated ontogenesis operations using the collected information to determine a context of a given situation associated with CS using stored ontogenetic knowledge, define parameters for different sets of actions that could occur in the context of the given situation, simulate the sets of actions to generate a set of simulation results defining predicted consequences resulting from the performance of certain behaviors by nodes of CS, select a best simulation result from the set of simulation results, and determine whether a system action specified by the best simulation result might cause an undesirable unintended consequence; and using the parameters associated with the best simulation result to optimize control and performance of CS, when a determination is made that the system action will not cause the undesirable unintended consequence.

Abstract: Systems and methods for controlling operations of a Computer System (“CS”). The methods comprise: collecting information about events occurring in CS; performing automated ontogenesis operations using the collected information to determine a context of a given situation associated with CS using stored ontogenetic knowledge, define parameters for different sets of actions that could occur in the context of the given situation, simulate the sets of actions to generate a set of simulation results defining predicted consequences resulting from performance of behaviors by nodes, determine a confidence value for each simulation result that indicates a level of confidence that a successful outcome will result if action(s) associated with the simulation result are performed by CS, and analyze the confidence values to identify a simulation result with the best confidence level; and using the parameters associated with the best simulation result to control and optimize performance of CS.

Abstract: Systems and methods for controlling operations of a Computer System (“CS”). The methods comprise: collecting information about events occurring in CS; performing automated ontogenesis operations using the collected information to determine a context of a given situation associated with CS using stored ontogenetic knowledge, define parameters for different sets of actions that could occur in the context of the given situation, simulate the sets of actions to generate a set of simulation results defining predicted consequences resulting from performance of behaviors by nodes, determine a confidence value for each simulation result that indicates a level of confidence that a successful outcome will result if action(s) associated with the simulation result are performed by CS, and analyze the confidence values to identify a simulation result with the best confidence level; and using the parameters associated with the best simulation result to control and optimize performance of CS.

Abstract: Systems and methods for controlling operations of a computer system. The methods comprises: collecting, by at least one computing device, information about events occurring in the computer system; performing automated ontogenesis operations by the at least one computing device using the collected information to determine a context of a given situation associated with the computer system, define parameters for a plurality of different sets of actions that could occur in the context of the given situation, and simulate the sets of actions to generate predicted consequences resulting from the performance of certain behaviors by nodes of the computer system; and using the parameters of at least one of the predicted consequences to control operations of the computer system.

Abstract: A method and data processing system assesses the security vulnerability of a network by creating a system object model database representing a network. The system object model database supports the information data requirements of disparate network vulnerability analysis programs. The system object model database is exported to the disparate network vulnerability analysis programs. The network is analyzed with each network vulnerability analysis program to produce data results from each program. Data results are correlated to determine the security posture of the network.

Abstract: A method and data processing system assesses the security vulnerability of a network. A system object model database is created and supports the information data requirements of disparate network vulnerability analysis programs. Only the required data from the system object model database representing the network is imported to the programs, which then analyze the network to produce data results from each program. These data results are stored in a common system model database and within the data fact base. Goal oriented fuzzy logic decision rules are applied to determine the vulnerability posture of the network.

Abstract: A graphical user interface is contained on a computer screen and used for determining the vulnerability posture of a network. A system design window displays network items of a network map that are representative of different network elements contained within the network. The respective network icons are linked together in an arrangement corresponding to how network elements are interconnected within the network. Selected portions of the network map turn a different color indicative of a vulnerability that has been established for that portion of the network after a vulnerability posture of the network has been established.