This is essentially a low level demonstration of an Artificial General Intelligence system. A simple nervous system of about 20 neurons is modeled. It replicates the structure and functioning of biological nervous systems by modeling networks of neurons that detect the external world and produce actions in it. Like living organisms, behavior is controlled by drives, affect/emotions, and learning based on consequences.
It is not an AI agent. It is not an expert system, learning algorithm, demonstration of machine learning, or knowledge representation system.
The nervous system demonstrates numerous animal behavioral and learning phenomena including: stimulus-response reflexes, goal oriented behaviors, classical (Pavlovian) conditioning, operant conditioning in response to rewards and punishments, secondary reinforcement, and simple affect responses that are intrinsic to actions and learning.
For a complete description and to view demonstration videos, go to
Seeing is believing.