Integrated Approach of Internalist and Externalist Cognition and Systems Identification Theory

The integrated approach of internalist and externalist cognition involves agents modeling themselves and other agents within abstract boundaries. These agents exhibit different behavioral complexities and mimic each other within an ecosystem. The consensus mechanism between the agents may bear resemblance to ontological reality or could be an entire hallucination. The free energy principle and the Markov blanket story emphasize the fundamental relationship between systems identification theory and Markov blankets, which aims to simplify complex interactions by segregating the environment into entities or objects. This approach facilitates the reduction of a highly dimensional set of observations to a few simple equations, similar to statistical physics. The Markov blanket provides a definition of object types based on the statistics of its boundary, which is equivalent to systems identification theory, allowing for a more straightforward solution to a highly complex dimensionality reduction problem.