Self-Aware Predator A.I. "Cyberslug," Behaves Like the Original Flesh and Blood Slug
Unlike most other AI entities, Cyberslug has a simple self-awareness, said University of Illinois molecular and integrative physiology professor Rhanor Gillette, who led the work with software engineer Mikhail Voloshin.
“That is, it relates its motivation and memories to its perception of the external world, and it reacts to information on the basis of how that information makes it feel,” Gillette said.
Cyberslug was modeled on Pleurobranchaea californica, a sea slug with a simple nervous system.
To make the right choice, they must be able sense their own internal state (Am I hungry?), get cues from their environment (How does it smell?) and remember past encounters (Did this thing sting me last time?).
“Their default response is avoidance, but hunger, sensation and learning together form their ‘appetitive state,’ and if that is high enough the sea slug will attack,” Gillette said.
“When P. californica is super hungry, it will even attack a painful stimulus,” he said. “And when the animal is not hungry, it usually will avoid even an appetitive stimulus. This is a cost-benefit decision.” Cyberslug behaves the same way. (Run a Cyberslug simulation here.)
Cyberslug makes a cost-benefit calculation whenever it encounters potential prey.
Graphic by Rhanor Gillette and Ekaterina Gribkova
The new model uses more sophisticated algorithms to simulate Cyberslug’s competing goals and decision-making, Gillette said. Over time it learns what is good – and not so good – to bite. Just like P. californica, the more it eats, the more satiated it becomes and the more likely it is to avoid other creatures. But as hunger returns, Cyberslug becomes a less picky eater.
U. of I. molecular and integrative physiology professor Rhanor Gillette and his colleagues built a virtual ocean predator that has simple self-awareness.
Photo by L. Brian Stauffer
The National Science Foundation and National Institutes of Health supported this research.
Contacts and sources:
Rhanor Gillette / Diana Yates
The paper “Implementing goal-directed foraging decisions of a simpler nervous system in simulation” is available online http://www.eneuro.org/content/eneuro/early/2018/02/26/ENEURO.0400-17.2018.full.pdf
Source: http://www.ineffableisland.com/2018/03/self-aware-predator-ai-cyberslug.html
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