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Building Intelligent Consciousness by Next-Gen Machine Cognition
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Building Intelligent Consciousness by Next-Gen Machine Cognition
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morozow/README.md 
Intelligence is coordination under incomplete knowledge.
I study where formal systems meet unfinished philosophy.

About

Independent researcher at the intersection of artificial general intelligence, multi-agent systems, quantum-information theory, and foundational philosophy of science.

Academic background in engineering psychology, ergonomics, and radioengineering systems. That training shapes how I think about intelligence — not as computation alone, but as organization, adaptation, and coordination under constraint.

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flowchart LR
    A["<b>AGI &amp; Multi-Agent Systems</b><br/><i>operational domain</i><br/>coordination · autonomy <br/> governance"]
    Q(["◈ <b>Core Question</b><br/><i>How should intelligence be <br/> modeled when technical systems <br/> and philosophical assumptions <br/> remain incomplete?</i>"])
    B["<b>Quantum-Inspired Theory</b><br/><i>theoretical lens</i><br/>entanglement · decoherence <br/> gravity"]
    C["<b>Philosophy of Science</b><br/><i>grounding frame</i><br/>intelligence · consciousness <br/> reality"]

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    Q --- B
    Q --- C
    A -.- B
    A -.- C
    B -.- C

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Research Domains

Multi-Agent Intelligence — the operational domain Language-mediated coordination, autonomy boundaries, and governance structures in distributed agent systems. How agents negotiate, delegate, and maintain coherence without centralized control.

Quantum-Inspired Conceptual Frameworks — the theoretical lens Entanglement, decoherence, and gravity not as experimental physics claims, but as formal tools for reasoning about correlation, coherence loss, and structural constraint in complex systems.

Philosophy of Science & Foundations — the grounding frame First-principles inquiry into intelligence, consciousness, and reality. What does it mean for a system to "understand"? Where do our models of the world break, and what does that breakage reveal?

Current Threads

▸ language-mediated coordination in multi-agent systems
▸ autonomy and governance under distributed agency
▸ entanglement and decoherence as conceptual tools for complex adaptive systems
▸ reality as process — toward a testable philosophical framework
▸ original thought in technological systems
▸ Theory of Everything as dynamic ontology

Pinned Loading

  1. stdiobus/stdiobus stdiobus/stdiobus Public

    A deterministic C runtime providing transport-level routing for ACP/MCP-style agent protocols.

    Shell 4 1

  2. stdiobus/workers-registry stdiobus/workers-registry Public

    Worker examples for stdio Bus kernel - a high-performance message routing daemon for agent protocols.

    TypeScript 1

  3. toe-decoherence-validation toe-decoherence-validation Public

    Data-conditioned inference of the ToE consistency relation Q(k) = c_s*/(1+2n̄_k) using BK18+Planck+BAO public chains. Three-channel joint analysis: consistency ratio, ring-down, f_NL suppression.

    Python

  4. stdiobus/stdiobus-rust stdiobus/stdiobus-rust Public

    Rust SDK for stdio_bus - the AI agent transport layer.

    Rust

  5. bitcoin_rnd bitcoin_rnd Public

    Forked from bitcoin/bitcoin

    Experimental distributed workflow – R&D – Bitcoin Core integration/staging tree

    C++

  6. versionings versionings Public

    Versioning automation tool

    TypeScript 6 1