GMU:Flagelates, Nematodes, and I/F.Z.Ayguler: Difference between revisions

My robot is equipped with wheels, on board processor, voltage regulator, batteries, distance sensor, color sensor, thermo sensor which allows it to locomote in a snakelike manner, find food sources (bacteria) and avoid heat. My agent wants to achieve staying alive as long as possible. Finding bacteria and avoiding heat helps it to stay alive.  

The nematode worm C. elegans is a very simple organism with some moderately complex behavior. Its primitive behaviors are feeding, reproduction and locomotion and it exhibits complex behavior such as smell/taste, touch, slight response to light, sensing temperature, robust escape responses and rudimentary learning.  

      

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What is special about  C. Elegans is that they are among the best understood animal. Its whole genome was sequenced and it is the only creature to have had its neural system completely simulated. It has 302 neurons hard wired with around 8000 connections. We have a complete map of C. Elegan's admittedly simple, neural circuit created by  [https://http://openworm.org/ Open Worm Project] .This model has been used to implement the worm's brain in a number of ways  including building an artificial version of the worm's brain and building devices seem to behave like the worm. The researches concerning how the neural system of C. Elegans uploaded to a computer, could solve a problem and mimiking digital evolutionary process of C. Elegans using deep reinforcement learning in  in a nature-like simulation are the main inspiration for my project. You will see details of these research in my references and research notes section. Below is a simulation of worms body interacted with fluid environment around it.

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