This is the second iteration of Fall online course where we'll try to bring in physical space our experiments on fusion of mind-body theories with machine learning and transposition of such ideas into the realm of cybernetic ecosystems. We're planning to place an artificial agent in a real sonic space environment and to see how it will arise from the initial state of protoplasmic randomness into the sculpted awareness of the complexity of the ecosystem. Through the limitation of its own artificial body and sensory system the agent can explore the environment only on the phenomenological level. We'll focus on the reinforcement learning method which is based on the agent-environment dichotomy. And we still keep the question if the machine (algorithm) is aware of its own existence in the certain environment? Or is it aware of its own "consciousness"?  We try to answer the later questions with the usage of Python code.