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Thermodynamic Cost and the Free Energy Principle
The Free Energy Principle encompasses both thermodynamic and informational theories, emphasizing the need for a system to constantly update its model of the world to reduce surprises and inaccuracies. This principle integrates energy and information, highlighting that minimizing free energy efficiently considers both the information processing aspect and the thermodynamic cost. In this context, minimizing surprise or prediction errors incurs a complexity cost, translating into a thermodynamic cost of energy consumption. This dual consideration between information processing complexity and thermodynamic cost implies that injecting more data and energy into a solution may not be the most effective approach in problem-solving, especially relevant in fields like machine learning and artificial intelligence.