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AIVA

Artificialis Intelligentia Vivens Anima: An AI that builds AI systems. AIVA can compose, optimize, and evolve complex architectures while maintaining mathematical correctness at every layer.

Archetype 2

Artificial Intelligence Living Soul

Living Intelligence Through Architecture

Three-Layer Architecture

AIVA mirrors the evolution of intelligence: from physics (substrate) through chemistry (binding) to biology (living systems).

Biology Layer (AIOS)

The biological control plane—modular architectures, attractor-based goals, global workspace for collective awareness.

  • AIOS subsystems
  • Trait governance
  • Behavioral policies

Chemistry Layer (ALQ)

RFS-native query calculus—reaction constraints, homeostasis, regulatory loops for information binding.

  • ALQ calculus
  • Query composition
  • Reaction constraints

Physics Layer (AEF)

Execution fabric—Hilbert spaces, wave dynamics, energy conservation. The mathematical foundation.

  • AEF execution
  • Energy conservation
  • Field dynamics

Key Features

🔄

Self-Improving Architecture

AIVA can evolve and optimize itself while maintaining mathematical correctness. Mutations are proposed, validated, and proven before adoption.

📐

Mathematical Correctness

Every transformation is governed by proven lemmas and invariants. No change without mathematical proof.

🌐

Integrated Awareness

Field-based global workspace enables collective intelligence where the whole is aware of its parts.

📋

Complete Audit Trail

Every decision, mutation, and optimization is logged with full provenance and mathematical justification.


Core Capabilities

AIVA represents the frontier of self-improving AI with provable guarantees. Every capability is backed by mathematical proof.

System Composition

AIVA composes complex AI systems from the RFS stack, transforming high-level intent into governed execution patterns.

Architecture Evolution

Proposes and validates architectural improvements with LQL proofs before adoption. Performance improvements measured and verified.

Collective Intelligence

Working toward systems where the whole is aware of its parts. Measurable integrated information and collective intelligence metrics.

Proof-Driven Behavior

Research guardrails with Mathematical Autopsy gating ensure all behavior is mathematically justified and auditable.

Intent to Execution

AIVA transforms high-level intent into governed execution patterns with mathematical guarantees at every transformation layer.

1Intent captured and validated
2Architecture composed from RFS stack
3Mathematical proof of correctness
4Governed execution with audit trail

Research Platform

Current Status

AIVA is a research platform currently exercising the full RFS-first stack. All components are developed under Mathematical Autopsy and integrate after gates clear.

Research
Development Phase
RFS-Backed
Memory Substrate
Autopsy-Gated
All Components

Explore Self-Improving AI

AIVA represents the frontier of AI that can build and improve itself while maintaining mathematical correctness.