Predictive learning is a technique of machine learning in which an agent tries to build a model of its environment by trying out different actions in various circumstances. It uses knowledge of the effects its actions appear to have, turning them into planning operators. These allow the agent to act purposefully in its world. Predictive learning is one attempt to learn with a minimum of pre-existing mental structure. It may have been inspired by Piaget's account of how children construct knowledge of the world by interacting with it. Gary Drescher's book 'Made-up Minds' was seminal for the area.
Another more recent predictive learning theory is Jeff Hawkins' memory-prediction framework, which is laid out in his On Intelligence.
Famous quotes containing the word learning:
“I can’t make head or tail of Life. Love is a fine thing, Art is a fine thing, Nature is a fine thing; but the average human mind and spirit are confusing beyond measure. Sometimes I think that all our learning is the little learning of the maxim. To laugh at a Roman awe-stricken in a sacred grove is to laugh at something today.”
—Wallace Stevens (1879–1955)