Forward learning
Anticipatory learning , even predictive learning ( English predictive learning ), is a technique of machine learning in which an agent is trying to create a model of its environment by trying different actions in different circumstances. He uses knowledge of the effects his actions seem to have and turns them into planning operators. These enable the agent to act purposefully in his world. Predictive learning is an attempt to learn with a minimum of pre-existing mental structure. It may have been inspired by Piaget's account of how children build up their knowledge of it through interaction with the world. Gary L. Drescher's book Make-up Minds was fundamental to the region.
Another recent theory of predictive learning is Jeff Hawkins ' memory predictive model , which is described in his on-intelligence method.
Individual evidence
- ↑ Erica Melis & Alan Bundy: Planning and Proof Planning ( en , PS-Adobe-2.0 (52.83 kiB)) 1996. Retrieved November 22, 2018.
- ↑ J. Siekmann, M. Kohlhase and E. Melis: Ωmega, a mathematical assistance system. (PDF-1.2 (164.4 kiB)) 1998. Accessed November 22, 2018.
- ^ Gary L. Drescher: Make-up Minds: A Constructivist Approach to Artificial Intelligence . MIT Press, 1991, ISBN 978-0-262-04120-1 , pp. 240 (English).
- ^ Jeff Hawkins & Sandra Blakeslee: On Intelligence: How a New Understanding of the Brain will Lead to the Creation of Truly Intelligent Machines . Times Books, USA 2004, ISBN 0-8050-7456-2 , pp. 272 (English).