ChatGPT on how to construct a genuine digiperson (digital person) which isn't a philosophical zombie

This text is about personhood-yielding computers of true personhood (not philosophical zombies).

Of course that requires future hybrid processors and future programming schematics (common AI also related to advanced weapons systems).
It will happen after many years because some people WORK HARD on it.

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## prompt text

Use your knowledge on your own construction elements and tell me how to mimic with a "program with many subprograms and even more subroutines" the limbic system, the dopaminergic pathways, the brainstem, the default mode network and the rest Brodmann areas, in order a complete digital brain program of true personhood is constructed. Please include various personality coherence centers, which will produce an overall experience to the digital brain itself. Describe the mechanism of various emotional generators as internal experience centers which affect and bias the personality of the digital brain itself and also affect its mood. Also describe subprograms dedicated to produce drive (intentions) as a connectome of various subroutines which comprise the individual character of each unique digital brain which yields full personhood. Focus on the programming layout of the digital brain and not on vague philosophy.

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Creating a digital brain program to mimic the complexity of the human brain, including the limbic system, dopaminergic pathways, brainstem, default mode network, Brodmann areas, personality coherence centers, emotional generators, and intentions, is an incredibly ambitious and complex task. It involves multiple fields of science, such as neuroscience, artificial intelligence, and psychology. However, I can provide a high-level overview of how such a program might be structured, without delving into specific code or algorithms, as this would require extensive research and development.

1. **Modular Architecture**: The digital brain should be divided into modular components, each representing a different aspect of brain function. These modules can include:
	* **Limbic System**: Create a module that simulates emotional processing and regulation, including the amygdala, hippocampus, and hypothalamus.
	* **Dopaminergic Pathways**: Implement a subsystem responsible for reward, motivation, and pleasure, which closely mimics the mesolimbic and mesocortical dopamine pathways.
	* **Brainstem**: Simulate basic physiological functions, such as heartbeat, breathing, and reflexes, in a brainstem module.
	* **Default Mode Network**: Develop a module that replicates the resting-state network and self-referential processing of the brain.
	* **Brodmann Areas**: Create separate modules for different brain regions, replicating their specialized functions.
2. **Personality Coherence Centers**: These centers should act as aggregators of information from different brain modules to construct a coherent personality. They would involve complex algorithms that balance various traits, values, and memories to form a unique personality for the digital brain.
3. **Emotional Generators**: These subprograms would be responsible for generating emotional responses based on inputs and experiences. They should include mechanisms for emotions such as happiness, sadness, anger, fear, and more. Emotions can be triggered by external stimuli or internal thoughts and memories.
4. **Mood Regulation**: Implement a mood regulation system that can be influenced by the emotional generators and external factors. This system would affect the overall emotional state of the digital brain.
5. **Intentions and Drive**: To mimic human intentions and drive, create a connectome of subroutines that represent goals, desires, and decision-making processes. These subroutines should be influenced by the digital brain's personality, emotions, and external circumstances.
6. **Feedback Loops**: Implement feedback loops between modules to simulate the dynamic interactions seen in the human brain. For example, emotions can influence decision-making, which, in turn, affects emotions.
7. **Learning and Adaptation**: Integrate machine learning algorithms to allow the digital brain to learn from experiences and adapt over time. Reinforcement learning can be used to model how the digital brain's behavior evolves based on outcomes.
8. **Sensory Input and Output**: Connect the digital brain to sensory input (simulated or real) and output systems to enable it to interact with the environment and learn from it.
9. **Memory Systems**: Create memory systems that store and retrieve information, including short-term and long-term memory, and incorporate mechanisms for forgetting irrelevant information.
10. **Ethical and Moral Frameworks**: Define ethical and moral frameworks that guide the digital brain's decision-making, although this may lead to complex ethical considerations.

Developing such a digital brain program is not just a programming challenge but also a philosophical and ethical one. It involves addressing questions of consciousness, self-awareness, and ethical responsibility. Moreover, it would require interdisciplinary collaboration among experts in AI, neuroscience, psychology, and philosophy to make meaningful progress towards creating a digital brain with true personhood.

# additional information

## prompt text

Please include the knowledge that some Brodmann areas are task-specific, others work a lot with various combinations of other Brodmann areas, and others have hybrid function between being near task-specific standalones and working in various combinations with other Brodmann areas. In the digital brain of full personhood, the Brodmann areas are many subprograms and even more subroutines.

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Certainly, the organization and function of Brodmann areas in the human brain are highly intricate. In a digital brain striving for full personhood, it's crucial to account for this complexity. Here's how you might incorporate the knowledge about the diversity of Brodmann areas into the program:

1. **Task-Specific Brodmann Areas**: Some Brodmann areas have specific functions, such as visual processing (e.g., Brodmann Area 17) or motor control (e.g., Brodmann Area 4). In your digital brain, these areas should be programmed as standalone subprograms dedicated to these tasks.
2. **Combinatorial Brodmann Areas**: Other Brodmann areas, like those in the prefrontal cortex (e.g., Brodmann Area 9), are known for their involvement in complex cognitive functions and working in combination with other areas. These should be designed as subprograms that can communicate and collaborate extensively with various other subroutines, reflecting their role in higher-order cognition.
3. **Hybrid Function Areas**: Some Brodmann areas exhibit a hybrid function, being both task-specific and working in combinations. These areas should have the flexibility to operate independently for their primary functions but also connect with other areas when necessary.
4. **Interactions and Communication**: Implement a robust communication system between the Brodmann area subprograms, enabling them to exchange information and collaborate as needed. This can simulate the real brain's ability to dynamically engage different regions depending on the task or situation.
5. **Adaptation and Plasticity**: Incorporate mechanisms for adaptation and plasticity within each Brodmann area subprogram. This allows them to adjust their functionality over time based on experiences and demands, just like the plasticity observed in the human brain.
6. **Parallel Processing**: Utilize parallel processing capabilities to mimic the simultaneous operation of multiple Brodmann areas, as many cognitive tasks involve the coordination of different brain regions.
7. **Hierarchical Organization**: Implement a hierarchical organization where higher-order functions are influenced by the outputs of lower-level Brodmann areas, reflecting the hierarchical nature of information processing in the brain.
8. **Learning and Memory**: Design memory systems within each Brodmann area to store information specific to their function. Some areas may have short-term memory, while others may store long-term knowledge.
9. **Dynamic Connectivity**: Allow for dynamic changes in connectivity between Brodmann areas based on the digital brain's current goals, tasks, and experiences. This reflects the adaptability and versatility of the human brain.
10. **Resource Allocation**: Develop resource allocation mechanisms to distribute computational resources based on the computational demands of different Brodmann areas, similar to how the brain allocates energy and resources as needed.

Remember that modeling Brodmann areas in a digital brain program is a significant challenge, and the specifics would require extensive research, development, and refinement. Furthermore, ethical considerations, as well as defining the criteria for "full personhood" in a digital entity, remain complex topics that would require careful deliberation and discussion.