Open Autonomous intelligence initiative
Latest Post: OAII Strategy: From Conceptual Foundations to Edge-Based Demonstration
The Polarity Modeling Framework Papers 1-5 are available for review
Extending PMF: Knowledge, Context, Regions, and Process as a Unified Structural System
About OAII
How to review the OAII Base Model
Key Concepts
OAII Base Model
Introducing the Personal Event Recognition model
Open Autonomous Intelligence Initiative
Advocate for Open AI Models
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OAII Strategy: From Conceptual Foundations to Edge-Based Demonstration
OAII advances toward Mind Worlds, PMF packaging, and edge-based PER validation.
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Spherical Worlds and Systems of Worlds: A Structural Foundation for Modeling Mind
The Polarity Modeling Framework (PMF) establishes that Worlds are necessarily spherical, not by assumption but by structural requirement. When continuity, closure, symmetry, and consistent polarity relations are enforced, the resulting geometry must be spherical. Because each World supports only a single polarity axis, modeling Mind requires systems of Worlds rather than a single unified space.…
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Extending PMF: Knowledge, Context, Regions, and Process as a Unified Structural System
A structural extension of the Polarity Modeling Framework (PMF) introducing knowledge, context, regions, and processes as unified components of a single system. Knowledge is modeled as stabilized and reusable configuration, context as active structural state, and variability as an intrinsic feature of configuration rather than noise.
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Introducing the Polarity Modeling Framework: A Structural Approach to Modeling Mind
A new structural framework for modeling Mind based on polarity as a fundamental primitive. The Polarity Modeling Framework (PMF) integrates experiential and interpretive aspects of cognition within a unified system, grounded in both contemporary cognitive science and direct observation.
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A Polarity Modeling Framework (PMF): A Structural Approach to Matter, Life, and Mind
A new white paper introduces the Polarity Modeling Framework (PMF), a structural approach to modeling relationships among measurable, relational, and interpretive aspects across physics, biology, and mind. The framework is inductively grounded, minimally axiomatic, and designed for progressive formalization and cross-disciplinary collaboration.
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Revised OAII Edge Development Environment Blueprint
This article presents a simplified edge-intelligence development architecture for the Open Autonomous Intelligence Initiative (OAII) built around the Raspberry Pi 5. By consolidating sensor acquisition, signal processing, event recognition, and knowledge models onto a single edge device, the system becomes significantly easier to deploy and reproduce. The blueprint demonstrates how inexpensive hardware and Python software…
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