학술논문

A Tripartite Theory of Trustworthiness for Autonomous Systems
Document Type
Conference
Source
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Systems, Man, and Cybernetics (SMC), 2020 IEEE International Conference on. :3375-3380 Oct, 2020
Subject
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Autonomous systems
System dynamics
Conferences
Mission critical systems
Real-time systems
Mathematical model
Cybernetics
theory of trustworthiness
cognitive foundations
mathematical models
formal measurements
mission-critical systems
Language
ISSN
2577-1655
Abstract
It is recognized that system trustworthiness is a hyperstructure embodied by the structural, behavioral, and system dimensions with a set of coherent attributes. We explore a theoretical framework of tripartite trustworthiness that can be applied to real-world autonomous systems. We present a formal study of the essences and mathematical models of system trustworthiness and their quantitative measurements in the contexts of autonomous and mission-critical intelligent systems where humans and machines interact in a hybrid environment.