Amygdala_Neuroscience_Intelligent_AGI
This project explores a computational model of consciousness and intelligence, drawing inspiration from diverse fields like neuroscience, quantum mechanics, and information theory. It simulates the dynamic interplay of order and disorder in cognitive systems, incorporating concepts like flux, entropy, and neuropeptide modulation to model the emergence of intelligence and consciousness. The project is not a complete, functional AI but an experiment in modeling abstract cognitive concepts.
Coherence-Based Alignment
Instead of treating alignment as a problem of reward optimization, shared objectives, or centralized control, this framework defines alignment as a property of internal and relational coherence in intelligent systems.
The approach for future experiments applies to:
single-agent systems
multi-agent systems
decentralized agent ecosystems
human–AI interaction settings
Alignment is modeled as stability under perturbation, not behavioral compliance.
Post-Quantum-Cognition
Post-Quantum Cognition Theory (PQCT) is a framework for building advanced Artificial General Intelligence (AGI). It models cognition as:
Relational and post-entangled
Multi-dimensional: knowledge, emotion, ethics, anticipation
Temporally extended and context-aware
AGI using PQCT can make ethical, adaptive, and anticipatory decisions, while remaining explainable and safe