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FROM WISARD TO MAGNUS: A FAMILY OF WEIGHTLESS VIRTUAL NEURAL MACHINES

    https://doi.org/10.1142/9789812816849_0002Cited by:15 (Source: Crossref)
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    Abstract:

    This chapter reviews a progression of weightless systems from the WISARD single-layer pattern recogniser to recent work on MAGNUS, a state machine designed to store sensory experience in its state structure. The stress is on algorithmic effects, that is, the effect of mapping these systems into conventional processors as virtual neural machines. The chapter briefly reviews the changes from the generalisation of discriminators in WISARD to generalising RAM (G-RAM) as currently used in MAGNUS systems. This leads to the introduction to MACCON (the Machine Consciousness Toolbox) a flexible version of MAGNUS which runs on current PC operating systems.