In Active Inference, the generative model definition is: an agent’s internal ‘reality simulator.’ As detailed in the MIT Press text Active Inference, it is a […]
Foundational Concepts
In this section, we explore the core Active Inference Principles that define how sentient systems perceive and act within their environments. By grounding these concepts in the mathematical rigor of the Free Energy Principle, we provide a blueprint for understanding autonomous agency—from biological neurons to decentralized Web4 entities.
These foundational mechanics are the ‘mental hardware’ required to navigate the transition toward AGI. For a broader strategic overview of how these principles apply to your organization, visit our main Active Inference Knowledge Page or explore our specific consulting services.
Authority Reference: Our definitions are aligned with the framework established in Active Inference: The Free Energy Principle in Mind, Brain, and Behavior (MIT Press, 2022).
What is the Free Energy Principle?
The Free Energy Principle (FEP) is the foundational law of Active Inference. It states that any self-organizing system (like a cell or a brain) that […]
What is Active Inference explained in simple terms?
Active Inference (ActInf) is a theory explaining how intelligent beings – from a single cell to a complex AI – navigate the world. In simple […]