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
-
OAII Base Model — Sensor v0.2
The Sensor object represents a source of observable data within a World. Sensors produce Signals by observing some aspect of the environment, device state, or interaction surface. In the OAII Base Model, Sensors are responsible for observation, not interpretation. Sensors enable edge‑primary autonomy by grounding Events in locally observable evidence while remaining hardware‑agnostic and privacy‑aware.
-
OAII Base Model — Signal v0.1
The Signal object represents a unit of observation produced by a Sensor within a World. Signals are the raw or minimally processed inputs from which Events may be recognized. In the OAII Base Model, Signals are intentionally simple, local, and non-semantic by default. Signals enable edge‑primary autonomy by providing observable evidence without embedding interpretation, intent,…
-
Sensor Knowledge as a First‑Class Object
A recurring misunderstanding in discussions about edge AI and event recognition is the assumption that events emerge directly from sensor data. In practice — and in every reliable real‑world system — events emerge from comparison, not observation. This is why the OAII Base Model treats Sensor Knowledge as a first‑class object, even though it is…
-
Is an Edge-Primary, Event-Based Assistant for Aging-in-Place Technically Feasible?
One of the most common questions I receive when describing the OAII Base Model — particularly the World and Event objects — is straightforward and entirely reasonable: Is this actually feasible today on edge hardware, and can it be done without becoming prohibitively expensive or complex? The short ans
-
OAII Base Model — Event v0.1.1
The Event object represents a semantically meaningful occurrence recognized within a World. It is the primary unit of interpretation for autonomy, assistance, logging, and policy evaluation. In Edge‑primary systems, Events enable actionable understanding without dependence on continuous connectivity or centralized inference.
-
OAII Base Model — World v0.1.1
The World object provides the foundational contextual container within which OAII objects operate. It establishes the structural, semantic, and interpretive boundaries that make Signals, Events, Agents, Knowledge, Policies, and Interfaces intelligible and interoperable. In Edge‑primary systems, the World object enables local coherence without dependence on centralized or global state.
Open Autonomous Intelligence Initiative 