The concept that we learn by interacting with environment is a foundational idea underlying the theories of learning and intelligence. In machine learning beside the methods of supervised or unsupervised learning we can find the approach of reinforcement learning which is based on the agent-environment dichotomy.
The starting point of our experiments will be the fusion of mind-body theories with machine learning and transposition of such ideas into the realm of cybernetic ecosystems. We're planning to create artificial agent which by interacting with real world environment will arise from initial state of protoplasmic randomness into the sculpted awareness of the complexity of the ecosystem in which the agent exists. Through the limitation of its own artificial body and sensory system the agent can explore the environment only on the phenomenological level. But is the machine (algorithm) aware of it's own existence in the certain environment? Or is it aware of it's own consciousness? We try to answer the later questions with the usage of Python code.