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) for autonomous decision making, and computer software and computing entity using the same. Individual cells included in the self-adaptive dynamic multidimensional array are distinguished by parameters including at least individual events, individual states and individual contexts. The individual cells include operations to be performed according to the parameters corresponding to the individual cells. A method according to the present invention includes the steps of: acquiring, by a computing entity, a list of operations suitable for an event if at least one event is obtained, the computing entity based on the self-adaptive dynamic multidimensional array; performing the individual operations belonging to the list of suitable operations; and rearranging the self-adaptive dynamic multidimensional array based on the result of the performance. Thus, the neuroplasticity and self-adaptive flexibility of the human brain can be implemented in computer software and computing entities related to the artificial intelligence.