Method and system for continual learning in an intelligent artificial agent

A method of learning to achieve a goal configuration of an artificial agent, comprising:

• defining, within the agent, the goal configuration for the agent as part of a continual learning block;
• determining a knowledge feature as a prediction of at least one of a distance and duration required to achieve the goal configuration;
• relying on a previous learned continual learning block, having a previously learned distinct goal configuration, to move the agent in the goal configuration;
• determining a first knowledge feature as a first prediction of a number of steps required to achieve the goal configuration;
• and
• relying on a previous knowledge feature to achieve the goal configuration, the previous knowledge feature being a previous prediction of at least one of a distance and duration required to achieve the previous learned goal configuration.

A method of learning to achieve a goal configuration of an artificial agent, comprising:

• defining, within the agent, the goal configuration for the agent as part of a continual learning block;
• determining, within the agent, a knowledge feature as a prediction of at least one of a duration and a distance required to achieve the goal configuration, the knowledge feature being a component of the continual learning block;
• and
• relying, by the agent, on a previous learned distinct goal configuration, of a previously learned continual learning block, to move the agent in the goal configuration;
• wherein a previous knowledge feature is used to achieve the goal configuration, wherein the previous knowledge feature is a previous prediction of at least one of a duration and a distance required to achieve the previous learned goal configuration, and wherein the previous knowledge feature, along with the previous goal configuration, are components of a previous continual learning block.