My own view is that mind and the body are more like two 'sides of the same coin' rather than two separate things. But, again, there is so much unknown...
I'm not a fan of the 'software/hardware' analogy because it risks to lead us to either anthropomorphize machines or to think that we are 'like machines'. — boundless

So you don't distinguish between the living and thinking aspects of your being? Do you think you are all Mind, or all Body? The all-body view, with Mind minimized as epi-phenomenon, is known as Materialism or Physicalism. Yet, that physical-only perspective limits your ability to do Philosophy of Metaphysics, Ontology, Epistemology, and Ethics.

That's why the early philosophers, such as Plato & Aristotle adopted the worldview now known as Dualism. Aristotle tried to avoid Supernaturalism though, by postulating two different kinds of Substance : Hyle (matter) and Morph (form). Ironically, early theologians labeled those substances as physical Body & metaphysical Soul. However, I have adopted a 21st century version of Aristotle's Morph, with the modern concepts of Energy and Information*1 in place of Plato's supernatural Form. That way, I can have the best of both worlds : physical Science (hyle) and metaphysical Philosophy (morph).

You could say that my version of the Mind/Body duality is also "two-sides of the same coin". But in this case, the "coin" is Causal or Active Information*2*3, in the same sense that Energy can take-on the radically different forms of both Light and Matter (E = MC^2). To get into that complex unconventional worldview (Reality + Ideality) would require a separate thread. :wink:

PS___ Metaphorically, we are like machines, except in the sense of self-consciousness : knowing that we know. AI knows a lot of stuff, and uses self-reference, but it will admit that it doesn't feel what it's like to know itself.


*1. En-Form-Action is a metaphysical concept, primarily discussed on philosophy forums, that describes the inherent power or process within the universe to transform potential (information, design, essence) into actual (form, structure, matter), acting as a bridge between pure information and physical reality, often linked to physics concepts like \(E=mc^{2}\) but with deeper philosophical implications about creation, causality, and the nature of mind and matter. It's seen as a "creative power" or "intentional causation" that drives evolution and complex arrangement, proposing a deeper layer to materialism by integrating information/ideal forms with the physical world.
https://www.google.com/search?client=firefox-b-1-d&q=enformaction
Note --- this is a Google AI overview, not my words

*2. Causal Information theory blends information theory with causality, using concepts like information flow and conditional independence to quantify relationships, discover causal structures in data (like causal skeletons), and understand how much control one variable has over another, moving beyond simple correlation to identify directed influences, especially in complex systems like turbulence or deep learning, offering tools for causal inference where experiments are hard. It provides measures like "causal information gain" (reduction in uncertainty from intervention) and is used in AI/ML for robust generalization, with applications in analyzing neural networks and designing experiment
https://www.google.com/search?client=firefox-b-1-d&q=causal+information+theory
Note --- Useful for the "hard" problem of Consciousness.

*3. Active Information Theory isn't one single theory but refers to concepts where information isn't just passive data but an active physical entity influencing reality, notably in David Bohm's quantum physics (information as activity), and in Active Inference (ActInf), a framework where agents (like brains) minimize "surprise" (prediction errors) by updating models (perception) and acting on the world (action) to maintain existence and reach expected states. It bridges perception and action, explaining how organisms predict and interact, often linked to minimizing free energy and updating internal generative models, with applications from neuroscience to robotics.
https://www.google.com/search?client=firefox-b-1-d&q=active+information+theory