Deep active inference agents using Monte-Carlo methods
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Updated
Jun 14, 2025 - Python
Deep active inference agents using Monte-Carlo methods
A Recursive Ontological Framework for Cognitive Design, Neurodivergence Modeling, AI Co-Development, and "Structural AI"
A python implementation of Dave Shap's ACE Model
Orion employs mode-specific prompt templates that dynamically incorporate user preferences: Précis Mode: Fast-track synthesis with executive summaries (100-500 words, ~4K tokens) Synopsis Mode: Balanced analytical reports with structured sections (1500-2500 words, ~8K tokens) Treatise Mode: Academic-grade research with abstracts(2000-4000)
AIMAS — Fulfillment Certainty Protocol. A canonical standard for monetizing intent via Fit Matrices (ETA, Probability, Confidence), not listings or ads.
"High-performance cognitive computing platform..."
RefNet is a 2M-parameter edge-aware transformer for structured introspection and reflective evaluation within Structured Reflective Cognitive Architecture (SRCA/SRAI) systems. It predicts cognitive metrics (valence, self-model drift, thought quality) and recommends introspective actions (consolidate, recall, reframe, evaluate_alignment)
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