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arXiv · 2303.12084

Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding

Gadi Singer·Joscha Bach·Tetiana Grinberg·Nagib Hakim·Phillip Howard·Vasudev Lal·Zev Rivlin
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Abstract

While end-to-end learning systems are rapidly gaining capabilities and popularity, the increasing computational demands for deploying such systems, along with a lack of flexibility, adaptability, explainability, reasoning and verification capabilities, require new types of architectures. Here we introduce a classification of hybrid systems which, based on an analysis of human knowledge and intelligence, combines neural learning with various types of knowledge and knowledge sources. We present the Thrill-K architecture as a prototypical solution for integrating instantaneous knowledge, standby knowledge and external knowledge sources in a framework capable of inference, learning and intelligent control.

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Gadi Singer, Joscha Bach, Tetiana Grinberg, Nagib Hakim, Phillip Howard, Vasudev Lal, Zev Rivlin. 2023-02-28. Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding. https://doi.org/10.1007/978-3-031-19907-3_39

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