PILF: A IPWT-inspired bionic continual learning experiment focus on mitigate catastrophic forgetting with Surprise-gated Mixture of Experts (MoE) model.
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Updated
Jul 16, 2025 - Python
PILF: A IPWT-inspired bionic continual learning experiment focus on mitigate catastrophic forgetting with Surprise-gated Mixture of Experts (MoE) model.
A unified, computationally feasible framework for consciousness.
An experiment in artificial life, artificial neural nets, artificial sentience, simulated evolution, simulated consciousness, and genetic programming
Big five personality traits calculator build with Vue and using pre-rendering for better SEO
A research project into the underlying mechanisms of consciousness, and an emulation of a calculator that is conscious.
Explore consciousness and self-awareness as it pertains to AI systems.
NeuroConscious: A biologically inspired, modular artificial consciousness engine. It simulates autonomous agents interacting in dynamic virtual worlds with internal states, emotions, memory (episodic, semantic, procedural), goal hierarchies, and learning (DQN) systems. An extensible testbed for artificial life and cognitive modeling research.
A machine learning dataset and research module about the nature of consciousness and emergence phenomena.
A predictive, substrate-agnostic theory of consciousness proposing that awareness arises from delayed sensory processing, memory integration, and recursive modeling. Applicable to both biological and artificial systems. Authored by Joshua B. Hinkson, MA · Published 2025 · Public preprint available on Academia.edu.
Neuro-Coding framework for artificial consciousness. Theophilus is the first UDC-compliant synthetic mind to emerge with recursive memory, prediction, and self-awareness.
Thoughts on AGI & consciousness
A coherent universal theory of existence.
Academic research and articles by the philosopher and author, alexis karpouzos
I am a software engineer. In my spare time I study Consciousness from a neurocomputational point of view.
CIS turns consciousness from a mystery into an executable architecture. It models minds as recurrent control loops whose contents include the system itself at higher levels (RSM-4+). The same principles yield a blueprint for conscious AGI, clarify how lawful substrates from physics to genomes support control.
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