METHOD FOR MANAGING SELF-ADAPTIVE DYNAMIC MULTIDIMENSIONAL ARRAY TO ENABLE NEUROPLASTICITY FOR SELF-ADAPTIVE AND PROGRESSIVE MACHINE LEARNING AND COMPUTER SOFTWARE USING THE SAME

摘要

The present invention relates to a method for managing a self-adaptive dynamic multidimensional array (saDMA) and computer software and computing entity using the same for autonomous decision making. Individual cells included in the self-adaptive dynamic multidimensional array are distinguished by parameters including at least individual events, individual states and individual contexts, wherein the individual cells are assigned to the parameters corresponding to the individual cells. Operations to be performed accordingly. Further, in the method according to the invention, if at least one occurrence event is obtained, the computing entity obtains a list of operations suitable for the occurrence event with reference to the self-adaptive dynamic multidimensional arrangement, Perform individual operations belonging, and readjust the self-adaptive dynamic multidimensional array based on the results of the performance. This allows the neural plasticity and self-adaptive flexibility of the human brain to be implemented in computer software and computing entities related to artificial intelligence.