RMH: a Remote Mind Hypothesis and a new model for our mind (Part 3)

This is a continuation (Part 3) of the RMH concept presentation and the Remote Mind Hypothesis and a new model for our mind.

As stated before, the main idea is a new hypothesis for our mind, which I will call RMH or the Remote Mind Hypothesis, with an initial model for it.
In practice, we have made several advances in this area, with the work of giants, leading us to discoveries and proves — marked in green — such as the structure of our brain and neural networks, synapses, etc., and mental models, in a simple and playful way, like a kind of software running in our brain. In fact, there is a paradigm and almost consensus in that sense, where this mind and software is generated by our own brain, although there is no scientific proof for it. However, I propose a new hypothesis that, beyond this mind, which I call here local — and local software — there is a remote mind and a remote operating system, much more complex than our science has ever approached.

The beautiful thing about this model is that, in theory, we can apply the same concepts and models of artificial neural networks [ANN], since they are adapted to the multi-propagation model [MP-ANN] to transport data and information between the highest level of mind, which is the collective and hybrid, to our brain and the real world. In doing so, building AGI/ASI models for our brain and mind passes into a domain where only adjustment and training, according to specific methods and rules, will determine a specific intelligent behavior in the real world with brain-activated functions as will be described in more detailed in THINK>B, a cognitive architecture I propose using several RMH concepts.

The idea in this continuation is to show a more practical example of the RMH concept and hypothesis, seeking to identify the main decision level of something as simple as water.

In this case, we can imagine that drinking water is a decision that can be performed almost automatically, with decision-making typically in our brain, or cerebellum, to be more specific:


However, depending on the location we are currently in, and the conditions to find water we have, this decision can reach much more complex dimensions, which will naturally change our focus and main decision level:


Is the case, for example, if we are at home, where practically our local mind and brain are the main level, in a forest, or even in a desert, where our remote mind and perhaps even collective and hybrid, can be decisive.

Of course, all these levels are automatically selected, probably without meditation or even more any mindfulness practice, but the truth is that each of us has different abilities to address unexpected and complex problems, and in my opinion, this is very much related to understanding what are the levels of decision making, especially in problems of high complexity and uncertainty.

And this is a logic that makes the RMH very relevant to the AGI architecture that I propose in THINK>B, because it is precisely the need of fast multiple data and information propagation a capacity of our general and universal intelligence, and of high relevance for any complex decision.

Rogerio Figurelli – @ 2018-06-07


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