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[Ultrastable Neuroendocrine Robot Controller]

Neural networks Java AI Simulation models Date: Aug 2011

Technologies used: Java, JFreeChart, Model-View-Controller, Git

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

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 resource gathering and recharging tasks.

The network schema

The implemented ultrastability mechanism was applied on two different time scales, to regulate fast-operating neurons and slowly-operating glands. The main limitation of the algorithm was that the adaptation was unstable when a task required an unexpectedly varied satisfaction time.

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