PURR-PUSS
(Purposeful Unprimed Real-world Robot with Predictors Using Short Segments)
What is PURR-PUSS?
PURR-PUSS is a theory of the brain and a design for an intelligent robot brain based on associative learning. Digital associations and multiple context avoid the well-known weaknesses of associationism and stimulus-response learning. The theory forms a bridge from neurons to symbolic processing and embraces mind-body-world interaction.
RE-ENTRANT PP: A New Development
Multiple Context: Blueprint for a Brain
This Web Page provides information about
- PURR-PUSS
- Experimental results from simulations of a robot in various microworlds
- Publications
- Slideshows
- Downloads
- John Andreae
The system is fully described in two books by John Andreae
- J.H.Andreae (1977): Thinking with the Teachable Machine.
Academic Press.
ISBN: 0-12-060050-1 - John H. Andreae (1998): Associative Learning for a Robot Intelligence.
Imperial College Press.
ISBN:1-86094-132-X.