@article{262de8f878914c8d85eba0190c939af6,
title = "Design for autonomy: An overview",
abstract = "This paper discusses desiderata for support of high-autonomy systems design. Knowledge- based design techniques are presented. Requirements for high autonomy are defined, and a design methodology for achieving them is described. The suggested techniques provide high- level aids for developing architectures and integrating high-autonomy systems with environments in which they are developed. The design methodology presented here stems from a multifaceted stimulation-modeling framework.",
author = "Rozenblit, {Jerzy W.}",
note = "Funding Information: Autonomy as a design goal can be defined as the ability of a system to function independently, subject to its own laws and control principles. Whereas achievement of full and complete autonomy in artificial systems still borders on the realm of impossible, quick strides are being undertaken to achieve high autonomy in engineering designs, as evidenced by recent research and development of high-autonomy systems (Antsaklis et al., 1989; Erickson and Cheeseman, 1986; Fishwick et aI., 1991; Luh and Zeigler, 1991; NASA 1985; Rozenblit and Zeigler, 1991; Zeigler, this issue). Work in high autonomy stems, to a large extent, from NASA's Space Station program and its Systems Autonomy Demonstration Project (Erickson and Cheeseman, 1986; NASA, 1985). This project focuses on research in artificial intelligence (AI), human factors, and dynamic control systems in support of Space Station automation and robotics technology (Erickson and Cheeseman, 1986; NASA, 1985). The design, construction, and evaluation of an intelligent autonomous system shell was recognized as an important goal of the systems autonomy research.",
year = "1992",
doi = "10.1080/08839519208949939",
language = "English (US)",
volume = "6",
pages = "1--18",
journal = "Applied Artificial Intelligence",
issn = "0883-9514",
publisher = "Taylor and Francis Ltd.",
number = "1",
}