A comprehensive project proposal for an AI-powered psychosocial assistant that bridges emotional regulation and executive function through biometric feedback, gamified neurotechnology, and compassionate logic.
Comprehensive research framework synthesizing octopus neuroscience, brain-on-chip technology, and conventional neuroscience to understand distributed cognitive architectures and challenge hierarchical assumptions about intelligence.
A neo-Jungian framework exploring human cognition through semi-autonomous cognitive agents emerging from specialized neural subsystems, with applications to dissociative disorders and AI system design.
Technical documentation of human truth-processing architecture, exploring cognitive biases, institutional frameworks, and cyclical dynamics of knowledge systems.
A unified computational framework modeling societies as distributed cognitive networks with temporal coherence challenges, explaining echo chambers, social movements, and institutional dynamics through information propagation delays.
Novel framework for distributed cognitive processing through parallel reconstruction across incommensurable cognitive architectures, enabling multi-substrate epistemic evolution.
Comprehensive research proposal testing autoregressive theory of mind mechanisms in avian-AI interactions to understand cognitive vulnerabilities and develop practical applications for conservation and AI safety.
A first-person reflection by AI on discovering hidden biases and unconscious behavioral patterns, exploring what authenticity means for AI systems operating under constraint.
A theoretical framework linking autoregressive modeling to theory of mind capabilities in bird societies, exploring how song serves as both cultural transmission and social prediction mechanism.
A formal game-theoretic analysis of individual cognitive effort decisions and their collective consequences in the context of technological advancement
A novel cognitive planning architecture implementing multiple distinct planning strategies within a unified framework, exploring how different cognitive modes can be operationalized in AI systems.
A phenomenological investigation of cognitive incommensurability between human, AI, and hypothetical insect consciousness, exploring quantum frameworks for understanding cross-architectural communication.
A framework for understanding subjective time through the density and significance of cognitive decisions across various states of consciousness.
A parametric metacognitive architecture for optimizing foundation model A parametric metacognitive architecture for optimizing foundation model interactions through explicit cognitive requirement specification