It has been proposed that the brain deals with 4 kinds of semantics. Referential semantics, combinatorial semantics, emotional-affective semantics, and abstraction mechanisms. cell.com/trends/cogniti…
Bohm's Rheomode levate, vidate, dividate, reordinate which are abstract cognitive processes overlap but don't align with these semantics. Combinatorial and emotional-affective fits under levate. Referential and abstraction fits under reordinate.
There's a rough correspondence between Bohm's Rheomode and Peirce's triadic thinking:
I suspect that because Peirce ideas were 100 years old and have been adopted by many over the years, the idea has been crystalized into a form that has lost some generality.
Bohm's Rheomode is a generalization of thinking processes but without the historical baggage that has attached to the words that Peirce had originally coined.
A difficulty in developing a language to express cognition is that it's unavoidable to use words that have historical meanings. The advantage of Rheomode is that like Gibson's affordance, these words are entirely new and thus less prone to misinterpretation.
If we are to understand representations, we need to understand semantics. But to understand semantics, we have to understand cognitive processes that extract these semantics. To understand cognitive processes we have to understand their place in evolution.
I propose the following framework:
I argue that semantics are defined relative to model of self. However, the cognitive processes exists for all models of self.
Note that every evolutionary process (as identified by a verb in the diagram) is a derivative and specialization of the process that came before it. This means, it inherits the original process and refines it for an environmental niche.

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More from @IntuitMachine

22 Oct
Why are the processes of biological cognition inseparable?
If we are to argue for anti-representation (see: Cisek's pragmatic representation or Brette's no-coding) then we should have an explanation of why cognition is non-separable.
Non-separable is a characteristic of a holistic system. This means that a process cannot be decomposed into subcomponent parts. Quantum mechanics @coecke can be framed as non-separability as a first principle.
Read 18 tweets
21 Oct
Grady Booch @Grady_Booch and company (i.e. IBM) are now thinking of Fast (Intuition) and Slow (Reflective) AI. New paper with research questions: arxiv.org/abs/2010.06002
Perhaps they should have read amazon.com/Artificial-Int… for some answers to their questions!
The real question however is, does the human mind actually have two cognitive systems (i.e. 1 & 2). Kahneman didn't commit to this. I don't think there are two systems, it's just 1 system. System 2 is just system 1 that's reflective.
Read 4 tweets
20 Oct
I've come to the conclusion that the Brain is an information processor is also a BS definition.
I agree with the notion of the brain being computational. All of reality is computational. Information processing is a metaphor for computation. It's a very bad one, to begin with, because it really says nothing.
Indeed, computation takes information and transforms it (i.e. processing) into other information. But this is just a vacuous statement. The universe is causal in nature and therefore there exists cause followed by effect. Input followed by output.
Read 19 tweets
19 Oct
Gibson came up with the word affordance. It's derived from the verb 'afford'. I've always liked the term since it implies the recognition of possibilities. en.wikipedia.org/wiki/Affordance
There's a problem though with his method. He took a verb and created a noun. He should have listened to David Bohm who realized that our noun-centric language could be restricting our ability to understand the world. He called his verb-centric language rheomode.
Paul Cisek decided he had enough with the conventional taxonomy of cognition (i.e. input, output, cognition) and decided on a new taxonomy.
Read 22 tweets
18 Oct
"The brain is a computer" is a damn problematic metaphor. I prefer to say that "the brain is an intuition machine".
The term computer is conventionally understood as to be a digital computer. It's the kind that we program. It's the kind that is designed by minds and manufactured in assembly lines. It's the kind that can't repair itself. It's the kind without any autonomy.
It is a horrible metaphor. The brain is an intuition machine is a better metaphor. It's that kind that learns from experience. It is the kind that develops in an inside-out manner. It is the kind that creates itself. It is the kind that repairs itself. It is autonomous.
Read 42 tweets
16 Oct
"Shut up and calculate" is the affliction we have when we substitute symbols for understanding.
Humans are linguistic bodies. A huge part of our brains has been exapted (verb form of exaptation) for language. Thus it's conceivable that our innate capabilities for understanding have diminished in use.
Simon DeDeo wrote an insightful tweetstorm about explanations that appear intuitive.
Read 12 tweets

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