(Informative)
MPAI, the international, unaffiliated, and not-for-profit organisation developing standard for AI-based data coding [1] established in 2020, has developed a range of Technical Specifications and Technical Reports [2] – 18 and 2, respectively – covering a variety of application domains that can benefit from the use of Artificial Intelligence (AI).
Two standards relevant to this document are
- Technical Specification: AI Framework (MPAI-AIF) [11] specifying initialisation, dynamic configuration, and control of AI applications implemented as AI Workflows (AIW) composed of AI Modules (AIM). An overview and the full text of the standard are available.
- Technical Specification: MPAI Metaverse Model (MPAI-MMM) – Technologies (MMM-TEC) [12]. An overview and the full text of the standard are available.
MMM-TEC assumes that
- M-Instances are metaverse instances implemented in conformity with MMM-TEC.
- An M-Instance is populated with Processes acting on Items representing “things” in the M-Instance.
- User is a Process operating under the responsibility of a human, either
- Directly – Human User (H-User), or
- Without direct control – Autonomous User (A-User).
MPAI believes that
- A-Users able to interact with Users – both A- and H-Users – are attractive components for M-Instances.
- A component-based A-User standard can accelerate the development and deployment at scale of A-Users.
- MPAI has the necessary capabilities and technologies to start a new activity called Pursuing Goals in metaverse (MPAI-PGM).
The MPAI-PGM standard project called Autonomous User Architecture (PGM-AUA) is planned to include a series of standards. The first of them is Use Cases and Functional Requirements: Pursuing Goals in metaverse (MPAI-PGM) – Autonomous User Architecture (PGM-AUA) targeting implementable architectures for A-Users. As these require a large set of technologies that can be made available by AI Modules integrated in an AI Workflow operating in the Standard AI Framework, PGM-AUA re-uses its considerable set of technologies developed in the contexts of its standards – most of them based on AI-Framework – when relevant to PGM-AUA. Other technologies have been used or developed for PGM-AUA.
In all Chapters and Sections, Terms beginning with a capital letter are defined in Table 1. All MPAI-defined Terms are accessible online. All Chapters are Normative unless they are labelled as Informative.