Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents

• URL: http://arxiv.org/abs/2101.10430v1
• Date: Mon, 25 Jan 2021 21:42:27 GMT
• Title: Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents
• Authors: Erin Lanus, Ivan Hernandez, Adam Dachowicz, Laura Freeman, Melanie Grande, Andrew Lang, Jitesh H. Panchal, Anthony Patrick, Scott Welch
• Abstract summary: We consider the challenges of developing a unifying test and evaluation framework for complex ensembles of cyber-physical systems with embedded artificial intelligence. We propose a framework that incorporates test and evaluation throughout not only the development life cycle, but continues into operation as the system learns and adapts.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Test and evaluation is a necessary process for ensuring that engineered systems perform as intended under a variety of conditions, both expected and unexpected. In this work, we consider the unique challenges of developing a unifying test and evaluation framework for complex ensembles of cyber-physical systems with embedded artificial intelligence. We propose a framework that incorporates test and evaluation throughout not only the development life cycle, but continues into operation as the system learns and adapts in a noisy, changing, and contended environment. The framework accounts for the challenges of testing the integration of diverse systems at various hierarchical scales of composition while respecting that testing time and resources are limited. A generic use case is provided for illustrative purposes and research directions emerging as a result of exploring the use case via the framework are suggested.

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