Abstract
This article describes the extension of a memory architecture that is implemented via graphical models to include core aspects of problem solving. By extensive reuse of the general graphical mechanisms originally developed to support memory, this demonstrates how a theoretically elegant implementation level can enable increasingly broad architectures without compromising overall simplicity and uniformity. In the process, it bolsters the potential of such an approach for developing the more complete architectures that will ultimately be necessary to support autonomous general intelligence.
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Rosenbloom, P.S. (2011). From Memory to Problem Solving: Mechanism Reuse in a Graphical Cognitive Architecture. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds) Artificial General Intelligence. AGI 2011. Lecture Notes in Computer Science(), vol 6830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22887-2_15
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DOI: https://doi.org/10.1007/978-3-642-22887-2_15
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