Open Autonomous intelligence initiative
OAII is advancing a unified approach to building autonomous intelligent systems by integrating the Polarity Modeling Framework (PMF) as a foundational structural layer. This integration separates operational components from the underlying structure that defines state, context, and transformation, enabling systems that are more coherent, interoperable, and transparent. It establishes a practical path toward standardization and certification of autonomous intelligence. Read the OAII Concepts post
The Polarity Modeling Framework (PMF) Papers 1-9 are available for review. Download the Paper 1-9 Abstracts, Read the first post, or download the White Paper PDF
OAII Strategy: From Conceptual Foundations to Edge-Based Demonstration A four-step plan for advancing the Polarity Modeling Framework from concept to implementation, including outreach, system design, and a Minimum Viable Model.
How to review the OAII Base Model
Introducing the Personal Event Recognition model
Open Autonomous Intelligence Initiative
Open object-oriented models for accountable AuI
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OAII Edge Development Environment Blueprint
This article presents an OAII-aligned development architecture for building edge-resident autonomous intelligence systems using Python and Raspberry Pi platforms. The blueprint organizes development workstations, Linux integration nodes, and distributed sensor devices into a coherent environment that supports the Open Autonomous Intelligence Initiative (OAII) base model. Using inexpensive hardware such as Raspberry Pi 5 and Pi…
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Multi-Room BLE + Audio Monitoring POC Specification v0.1
This proof-of-concept implements a distributed, privacy-first sensing architecture aligned with the OAII and Open Simulated General Intelligence (Open-SGI) base models. All inter-node communication is wrapped in an OAII-compliant Envelope, enabling transport-agnostic exchange of structured event data via MQTT. The central hub aggregates these events into persistent Knowledge objects, governed by named Policy constraints that enforce…
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OAII and Open SGI Base Models bridged Specification
This post presents a unified conceptual framework bridging the OAII Base Model and the Open SGI Base Model. OAII establishes an interoperable, inspectable substrate for distributed autonomous systems, centered on Events, Knowledge, Policy, and Agency. Open SGI extends this foundation with explicit representations of semantic Worlds, polarity systems, contextual modulation, and geometric realizations derived from…
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A Canonical OAII Personal Event Recognition (PER) Event List
Trustworthy autonomous intelligence begins with explicit event modeling. This post presents a canonical OAII Personal Event Recognition event list for aging in place, showing how meaningful in-home events can be detected, governed, and reviewed without diagnosis, scoring, or hidden judgment. By enumerating events, policies, and boundaries up front, OAII demonstrates how autonomy can remain transparent,…
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Why Autonomy Must Include the Right to Be Left Alone
As autonomous systems move into homes and care environments, the ability to pause monitoring, protect private moments, and prevent opaque judgment becomes essential. This post examines the ethical boundary autonomous intelligence must not cross—where care, power, and surveillance intersect—and explains why open, governable models like OAII are the only way to preserve dignity, consent, and…
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Ethical Routine Awareness Without Diagnosis
Recognizing changes in everyday routines—such as showering, cleaning, or remembering medication—does not require medical diagnosis or behavioral scoring. This post explains how Personal Event Recognition for aging in place can ethically support routine awareness and forgetfulness detection through explicit consent, configurable policies, and edge-primary processing. Using the OAII / Open SGI model, routine awareness becomes…
Open Autonomous Intelligence Initiative 