TitleHigh assurance human-centric decision systems
Publication TypeConference Paper
Year of Publication2013
AuthorsHeitmeyer, C, Pickett, M, Breslow, L, Aha, DW, J Trafton, G, Leonard, EI
Conference NameICSE-13 Workshop on Realizing Artificial Intelligence Synergies in Software Engineering
PublisherIEEE Press
Conference LocationSan Francisco, CA
Keywordsimitation learning, Intelligent agents
Abstract

Many future decision support systems will be
human-centric, i.e., require substantial human oversight and
control. Because these systems often provide critical services, high
assurance will be needed that they satisfy their requirements.
How to develop “high assurance human-centric decision systems”
is unknown: while significant research has been conducted in
areas such as agents, cognitive science, and formal methods,
how to apply and integrate the design principles and disparate
models in each area is unclear. This paper proposes a novel
process for developing human-centric decision systems where
AI (artificial intelligence) methods—namely, cognitive models
to predict human behavior and agents to assist the human—
are used to achieve adequate system performance, and software
engineering methods, namely, formal modeling and analysis, to
obtain high assurance. To support this process, the paper introduces
a software engineering technique—formal model synthesis
from scenarios—and two AI techniques—a model for predicting
human overload and user model synthesis from participant
studies data. To illustrate the process and techniques, the paper
describes a decision system controlling unmanned air vehicles.

Refereed DesignationRefereed
Full Text
NRL Publication Release Number: 
13-1231-1388
pub_tags: 
Intelligent agents
imitation learning
key_pub_tags: