BRAINN combines rule-based reasoning typical of expert systems, with similarity-based reasoning typical of neural networks, in an attempt to reproduce aspects of human common-sense reasoning. BRAINN's architecture mimics the columnar organisation of the human neocortex. It consists of a large hexagonal network of Hopfield nets. BRAINN encodes knowledge from both rules and a semantic network in a distributed fashion. Each relation in the semantic network is stored in a single Hopfield net, whilst each rule is stored in a set of adjacent Hopfield nets.
The program runs in MS Windows enviroment and has very friendly user interface.
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