Algorithms for stabilizing intelligent networks

Inspired by psychology, these algorithms could be developed and applied towards creating stable, predictable, and artificially intelligent networks.
zorka portfolio
Description

Biologically inspired algorithms for stabilizing intelligent, learning networks

Inspired by psychology, these algorithms could be developed and applied towards creating stable, predictable, and artificially intelligent networks. These algorithms collectively represent ways for intelligent systems to identify and correct unpredictable or unstable behaviors, creating stable emotional states that govern behaviors with given specific circumstances, and establishing an evolvable synthetic neural network that can eventually be scaled from low-level functions to higher level decision making processes. These algorithms could be key to research in autonomous spacecraft, nanorobotic swarms, and sensor networks.

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Project Detail
Date:
November 8, 2016
Patent:
2017-4
Place of Invention:
Goddard Space Flight Center