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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Checking Keys and Phone Placement After Returning Home
Misplacing keys or a phone can add unnecessary stress for people aging in place. This post explores a simple, ethical, and edge-primary autonomous intelligence use case: gently checking whether essential items are placed in a designated spot after returning home. It explains affordable devices, how the capability fits into the OAII / Open SGI model,…
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EdgePERSignal
PERSignal defines the minimal OAII‑conformant Signal subclass required to carry edge‑primary sensor observations into the Personal Event Recognition (PER) pipeline.
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Why Autonomous Intelligence Needs Open Standards
Autonomous Intelligence systems don’t just analyze data — they observe, decide, and act in the real world. As these systems move into our homes, cities, and care environments, open standards for interoperability, governability, and accountability become essential. This post introduces OAII’s advocacy series explaining why open, object-oriented models are the foundation of trustworthy, human-centered autonomy.
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EdgePERSensor
Purpose EdgePERSensor defines the minimal OAII-conformant Sensor subclass required for edge-primary Personal Event Recognition (PER) for aging in place. EdgePERSensor is designed to: EdgePERSensor is intentionally minimal and does not prescribe sensor technologies (PIR, mmWave, contact reed switch, camera, microphone, etc.). Scope and Non-Goals In Scope Out of Scope Role in the Open SGI MVM…
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EdgePERDevice
EdgePERDevice defines the minimal OAII-conformant Device subclass required to support edge-primary Personal Event Recognition (PER) for aging in place.
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Modeled Use Cases Enabled by the Open SGI MVM
This post introduces the concrete, real‑world use cases that can be modeled using the Open SGI Minimum Viable Model (MVM) for edge‑primary Personal Event Recognition (PER) in the context of aging in place.
Open Autonomous Intelligence Initiative 