An AI-ESTATE conformant interface for net-centric diagnostic and prognostic reasoning

There exists a wide field of strong theoretical models, which provide a basis for diagnostic and probabilistic reasoning. Among these are Bayesian methods, decision trees, D-matrices, logic based frameworks, and more. The IEEE 1232???2010 Standard for Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE) [1] strives to provide a common interface for interacting with these reasoning models to establish a common platform for prognosis and diagnosis. In this work, we propose a platformagnostic net-centric framework and interface, conformant to the AI-ESTATE standard. The IEEE AI-ESTATE provides platform-agnostic models and a service interface facilitating the exchange of diagnostic knowledge and reasoning capabilities. The Numerical Intelligent Systems Laboratory at Montana State University has been working continuously on promoting and enhancing this standard. Within AI-ESTATE is defined a set of Reasoner Manipulation Services (i.e., a service API). These services provide a standardized way to interact with a reasoning server for the purposes of diagnostic and prognostics. Previously, the AIESTATE service API had been implemented locally within our tool, called the Standards-based Analysis Platform for Predictive Health and Intelligent Reasoning Environment (SAPPHIRE).