Abstract: A system, method and apparatus including a security-related computer-executable module, preferably embodied as software that operates in combination with a computer to secure arbitrarily located application program code. The system is capable of performing the method of inserting or placing at a location in a computer program defining a computer-executed task, security-related computer-executable information denominated as a task gate defining predetermined security conditions that must be meet to proceed past the task gate. The task gate is invoked when encountered during execution of the computer program. The gate is used to determine whether the predetermined security conditions have been met before allowing any further computer execution of the program.

Abstract: An object, such as a robot, is located at an initial state in a finite state space area and moves under the control of the unsupervised neural network model of the invention. The network instructs the object to move in one of several directions from the initial state. Upon reaching another state, the model again instructs the object to move in one of several directions. These instructions continue until either: a) the object has completed a cycle by ending up back at a state it has been to previously during this cycle, or b) the object has completed a cycle by reaching the goal state. Upon reaching a state, the neural network model calculates a level of satisfaction with its progress towards reaching the goal state. If the level of satisfaction is low, the neural network model is more likely to override what has been learned thus far and deviate from a path known to lead to the goal state to experiment with new and possibly better paths.