Γενικά χαρακτηριστικά του νου που δημιουργεί προσωποσύνη (του προσωποσυνάτου νου) - στα αγγλικά

Consciousness (the way it's used in neuroscientific philosophy [philosophy of neuroscience] which means a coherent personhooded mind created by a brain computer) is impossible without a personhood-yielding mind

Consciousness is impossible without a personhood-yielding mind; thus the personhood-yielding computer architecture should be examined (by computer I mean any data processing mechanism, biological, programmed, mechanical, classical computer, quantum computer, probabilistic computer, mixed-system computer, etc.)

## What are the characteristics of the personhood-yielding thinking organs?

### Which substantial minds meet (or can meet) the criteria of personhood?

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anthropocentric (biased and simplistic; erroneously hyponymously stated/put) question: Can AI have personhood?

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Here I don't focus on some hyponymic substantial mind (biological/human), but hypernymously about any substantial/executable mind.

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Agency according to neuroscience is retrospective. Decisions are made biochemically by the organ which generates personhood (the brain). The brain doesn't magically pre-exist (as Roger Penrose wishes with his microtubular consciousness; I analysed that on a different post).

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What are the generic attributes of the thinking machines (no matter if they are biological, programs or mixed like circuit and program based [mixed systems like that run faster with processing units specialised for specific tasks; general computers might be added for extra calculations. If we ever create artificial neural network (ANN) brains, they will have to run fast, thus both processing units of specific and generic tasks should be included. A specific task computer calculates faster than a standard CPU specific operations. What we want is a mix system with generic and specific calculatory computing units. What are the generic attributes of the thinking machines (any type: biological, program-based, circuit-based, mix etc.).

• They have to meet Mary Anne Warren's criteria of personhood (but we can evolve/improve her elaboration).

• They have to be constructed as mereological complexes in order to be self-judgemental; thus the overall neural connectome has to have Brodmann-like denser clusters of connectivity that will act like brain regions. These brain regions can evolve naturally or with artificial neural networks in order they meet the criteria of personhood. Basic senses are easier to program (both with the usage of computer programs and biologically) than interpretational biases.

• • (this is a sub-prerequisite, because all the necessary brain regions are unavoidable) The limbic system (memoremotional system) is a common matter of debate, because its responsible in attributing emotion to interpreted events (all events are emotionally neutral - Imagine two meteorites colliding without any person around to judge the event. Events are emotionally labelled/categorised in relation to other biased memories of the personhood-bearer's thinking organ).

• • • (the prerequisite below is related to the limbic system and to regions which process memoremotional patways (memories emotionally labelled; because basic sensory processing regions/units/clusters do not change their connectome that fast [otherwise personhood-bearers = persons would perceive [more] noise) The personhood-bearing thinking organ should have all its emotion-related regions mount on a damper/shock absorber (not a physical damper, but a rewiring/reprogramming mechanism; different for each brain genre/category [biological, program-based, etc.]). Emotions of mild intensity should have an elastic impact on the wiring of the brain, and intense emotions should act plastically, permanently changing the wiring of the brain/changing one's personhood and selfhood (that event changed my life... say the personhooded people [not all human beings are fully personhooded and fully emotionally able]).

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(I have worked on the topic. Now I study astronomy. Ask me to complete the text.)

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• elastic vs plastic emotional response different per emotional impact (the brain connectome has to change in proportion to the emotional impact of the input/experience); the personhood-bearing/yielding brain should change via sentience, emotions and consciousness (consciousness as defined in the philosophy of neuroscience; coherence of the brain; brainstem's parabrachial nuclei are responsible for rudimentary alert-coherence (rudimentary consciousness; watch: The Source of Consciousness - with Mark Solms - The Royal Institution · YouTube). The reticular activating system is responsible for wakefulness (a rudimentary prerequisite for consciousness). For higher consciousness the overall cerebrum is responsible (different neuroscientist propose different regions are more important. People with brain damage are the main resource). Frontal lobe damage impairs emotional control, procedural rigour, etc. (it's a component of higher consciousness but not the sole).

• not a mereological simple in order to yield self-judgement/self-comparisons for achieving higher consciousness - Initially the ANN brain should be composed of separate ANNs (artificial neural networks with complex wiring amongst each other); but in later designs a sole megaconnectome will result (via pruning, altering, changing slightly the design with different ANNs dedicated to the design of the ANN brain) with densities (brain regions) = subconnectomes which will be fuzzy (not perfectly separate as the initial desing)

• limbic system = "memoremotional system" (a system which builds personhood-yielding memories by biasing episodic memory with emotional modes; all the emotional modes [neutrality, happiness, nostalgia, sadness, mourning, terror and mixed emotional states [some are based on basic emotions, tinted with different patterns of activation and memory genre/category boosting] ] should be reproduced by ANNs) analogues (statistical analysis of its function and wiring to other regions [and what these regions calculate])

• the human brain is not the sole way a personhood-bearing substantial mind can result, but it's a system that we know it yields personhood in most cases; thus we should study neuroscience, the Brodmann areas their function and interconnection. Initially we should try to mimic the human brain's structure, and secondarily try alternative designs that meet the same criteria

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• after many steps of evolution, non-human-referenced alternative digibrains will emerge

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How to create an ANN personhood-yielding brain.

• Study the Brodmann areas, their function and their connectedness/wiring towards other regions. Create artificial neural networks (not one; many, because a mereological simple brain might calculate realistic results, without self-comparisons between process regions,. We want that internal comparisons. Thus each brain region, should be a different neural network (at the first state of the development, later the result will look something like that, but with a sole megaconnectome, with dense subconnectomes, but we'll have to do that later in the evolution of the personhooded ANN)

• Make the axons different/separate ANNs (at the beginning of the design; in later designs, the forementioned megaconnectome with its subconnectome (noise-looking/looking fuzzy to the eye) densities will be the end result).

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An alternative project is to study the criteria of personhood (see: Mary Anne Warren, but the prerequisites of personhood should be updated and be more rigorous). Separate ANN will be built to yield each separate component of personhood; but that is impossible to work, because many brain regions evolved together and work together; thus that overall brain connectome will also evolve gradually as a functional whole (rudimentary processing of vision and hearing can be created as standalones and then be inserted). The rudimentary standalones will help the ANN evolve with the help of different ANNs which will generate slightly alternative connectomes, compare them and gradually evolve the brain (this brain will be built to meet the criteria of personhood; not to mimic the human brain; after we evolve enough brain designs we will see if we can combine some ideas eclectically [that doesn't always work; and it has to re-evolve to get fine tuned])

## comment 1:

watch the video: 2021's Breakthroughs in Neuroscience and Other Biology - Quanta Magazine -YouTube

How to build a connectome elastic (and with intense emotions plastic) digital brain?

The human brain has brain regions which act as components of complex task management which requires many brain regions. That way we should build and/or programme personhood-yielding digital brains.

The MIT neuroscientist Nancy Kanwisher expressed correctly the task management per different brain regions. Some brain regions like the primary visual and audio cortices are highly dedicated to particular tasks (higher sensation regions are connected to other regions for inference, data calibration, calculation, emotional labelling etc.), but other brain regions like the frontal cortex collaborate with other regions, even at the primary level. There is no general rule about how brain regions work. They should be examined case by case.

Complex brain tasks don't originate from specific single brain regions (watch the video: 2021's Breakthroughs in Neuroscience and Other Biology - Quanta Magazine -YouTube) but from calculational patterns of communicating regions (not all brain regions are equally important for all tasks). In that case, brain regions have the role of procedural processor subunit contributors and not the role of standalone units. It's not an arbitrary process; it can be neuroscientifically approached (for example via encephalograms and other brain-imaging techniques).