METHODS AND SYSTEMS FOR ARTIFICIAL COGNITION

摘要

Methods, systems and apparatus that provide for perceptual, cognitive, and motor behaviors in an integrated system implemented using neural architectures. Components of the system communicate using artificial neurons that implement neural networks. The connections between these networks form representations—referred to as semantic pointers—which model the various firing patterns of biological neural network connections. Semantic pointers can be thought of as elements of a neural vector space, and can implement a form of abstraction level filtering or compression, in which high-dimensional structures can be abstracted one or more times thereby reducing the number of dimensions needed to represent a particular structure.

主权项

1. An artificial intelligence system comprising:
at least one interface hierarchy configured to receive an input of a high-dimensional representation and to compress the high-dimensional representation to generate a lower-dimensional representation of the input; at least one processing module configured to receive the lower-dimensional representation and to generate a further representation; an action selection controller configured to control communication of the lower-dimensional representation and the further representation between the at least one interface hierarchy and the at least one processing module.