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IAPI Journal

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Intent-Addressable Physical Infrastructure

INTELLIGENT CLINICAL SYSTEMS

Intent-Addressable Physical Infrastructure (IAPI) is a class of cyber-physical infrastructure in which a person expresses what resource is needed and the environment assumes responsibility for resolving where that resource is and guiding or actuating the physical response. The person specifies the what. The infrastructure determines the where.

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PAPERS

IAPI-08

A Boundary Analysis of Intent-to-Physical-Resource Resolution

A falsifiable comparison of a candidate problem class for Physical AI against established robotics, distributed-systems, cyber-physical, and industrial resource abstractions.

Intent-to-Physical-Resource Resolution (IPRR) has been proposed as the computational problem of resolving a resource-relevant high-level objective to an admissible physical resource and actionable

2026–10–04 · 18 MIN
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IAPI-07

The DNS of Physical AI

Intent-to-Physical-Resource Resolution as a defining problem class for Physical AI. A position paper.

Physical AI systems increasingly perceive, reason about, navigate, and manipulate the physical world, yet a distinct computational step is routinely dispersed across perception, inventory systems

2026–10–03 · 13 MIN
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IAPI-06

Intent-to-Physical-Resource Resolution

A problem class for Physical AI: formalizing the computational transition from abstract intent to an admissible physical resource and actionable endpoint, independent of where the resolution is implemented.

The preceding Intent-Addressable Physical Infrastructure (IAPI) papers progressively exposed a computational operation more general than IAPI itself: an abstract objective must be grounded in a

2026–10–02 · 17 MIN
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IAPI-05

The Physical AI Era Is Missing a Spatial Nervous System

Why Agentic AI and Physical AI need Intent-Addressable Physical Infrastructure.

Artificial intelligence is rapidly acquiring two capabilities that were historically separate: the ability to reason about objectives and the ability to act in the physical world. Agentic AI provides

2026–09–27 · 11 MIN
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IAPI-04

IAPI as an Architectural Layer Within Physical AI

How should a human or software agent request a physical resource when the requester does not know, and should not need to know, its physical location?

Physical AI describes an emerging class of systems that perceive, interpret, and act within the physical world. Recent work in embodied intelligence, cyber-physical systems, and edge intelligence

2026–09–12 · 9 MIN
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IAPI-03

Physical Resource Addressability

A formal model for identity, location, and actuation in intent-driven cyber-physical systems: what physical endpoint can the system reliably act upon now to satisfy the resolved resource intent?

Intent-driven interaction with physical environments requires more than object identification and more than knowledge of location. For a physical resource to be computationally actionable, a system

2026–09–12 · 18 MIN
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IAPI-02

An Architecture for Intent-Driven Physical Systems

The formal definition of IAPI: a dual-view reference model, an end-to-end reliability formalism, minimum conformance criteria, capability levels, historical antecedents, and an evaluation framework.

Computing has repeatedly advanced by making resources more addressable and by moving users to higher levels of abstraction. Physical environments still require people to translate what they need into

2026–09–10 · 16 MIN
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IAPI-01FOUNDING

Transferring Physical Search from Humans to the Environment

A concept paper defining Intent-Addressable Physical Infrastructure, its reference architecture, and the design principles that follow from it.

Physical search is an infrastructure problem disguised as a human task. This paper proposes Intent-Addressable Physical Infrastructure (IAPI) as a class of cyber-physical infrastructure in which a

2026–09–07 · 13 MIN
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