VARIAC: an Autogenous Cognitive Architecture

Authors:
J. Storrs Hall
Affiliations:
Storrmont: Laporte, PA 18626, USA
Venue:
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Year:
2008

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Abstract

Learning theory and programs to date are inductively bounded: they can be described as “wind-up toys” which can only learn the kinds of things that their designers envisioned. We conjecture [1] that general intelligence involves an unbounded learning ability. VARIAC is an experimental cognitive architecture designed to learn by modifying and extending itself, including its ability to learn, so that it can learn to become a better learner.