An associative hierarchical self-organizing system
- 1 July 1985
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. SMC-15 (4) , 570-579
- https://doi.org/10.1109/TSMC.1985.6313425
Abstract
A system that learns to predict events in various environments is described. The system is associative and distributed; a hierarchical self-organization of low-level units into high-level units takes place based on experience in a particular domain. Its design is inspired by widely held principles of brain organization and by some newly developed techniques in nonparametric statistical inference. The system can be regarded as a realization of a nonparametric statistical algorithm. This is demonstrated by a discussion of system architecture and a presentation of an application in a `number theory' environment.Keywords
This publication has 0 references indexed in Scilit: