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[Ultrastable Neuroendocrine Robot Controller]

Neural networks Java AI A-Life Date: Aug 2011

[Masters dissertation]

Attributes of ultrastability as an adaption mechanism in a hormone-modulated neural robot controller were investigated in a simulation. Action-selection based on hormone-driven utilities of memory items was used to alternate between mineral gathering and recharging.


Results showed that the implemented ultrastability mechanism could be applied to both fast-operating neurons and slowly operating glands, although its main limitation was that the adaptation was unstable when a task required an unexpectedly varied satisfaction time.

Keywords:
Artificial neural network, ultrastability, homeostasis, robot controller

Publication:
Pitonakova, L. (2013). Ultrastable neuroendocrine robot controller. Adaptive Behaviour, 21(1), 47-63.
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