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Document Information

Type: Academic paper / book page
File Size: 2.25 MB
Summary

This document discusses cognitive architectures in the context of artificial general intelligence (AGI), specifically contrasting emergentist and symbolic approaches regarding cognitive synergy. It introduces the DeSTIN architecture, created by Itamar Arel, which utilizes deep reinforcement learning and hierarchical spatiotemporal networks for perception and action, and mentions a hybrid approach involving CogPrime.

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Itamar Arel

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DeSTIN created by Itamar Arel
DeSTIN hybridized with CogPrime

Key Quotes (3)

"The concept of cognitive synergy is more relevant to emergentist than to symbolic architectures."
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"The DeSTIN architecture... addresses the problem of general intelligence using hierarchical spatiotemporal networks designed to enable scalable perception, state inference and reinforcement-learning-guided action in real-world environments."
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"Mimicking the efficiency and robustness by which the human brain analyzes and represents information has been a core challenge in AI research for decades."
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