Artificial memory system and method for use with a computational machine for interacting with dynamic behaviours

An architecture with artificial memory for interacting with dynamic behaviors of a tool and an operator, wherein the architecture is a first neural network having structures and mechanisms for abstraction, generalization and learning, the first neural network implementation comprising an artificial hierarchical memory system, the architecture further comprising:

• a receiving port configured to receive data generated by sensors on the tool;
• one or more first nodes configured to learn and recognize frequently occurring input patterns and sequences received from the receiving port, said one or more first nodes forming a second neural network comprising neurons as components and edges connecting two or more of said neurons in a graph;
• and
• an output port configured to output data constructed by the architecture and associated with the behaviors, whereby each of the one or more or essentially all of said first nodes is adapted for time series analysis, and comprises components connected in a topological graph or temporal graph.