Toward Computational Modeling of C2 for Teams of Autonomous Systems and People (19th ICCRTS)
Abstract
The technological capabilities of autonomous systems (AS) continue to accelerate. Although AS
are replacing people in many skilled mission domains and demanding environmental
circumstances, people and machines have complementary capabilities, and integrated
performance by AS and people working together can be superior to that of either AS or people
working alone. We refer to this increasingly important phenomenon as Teams of Autonomous
Systems and People (TASP), and we identify a plethora of open, command and control (C2)
research, policy and decision making questions. Computational modeling and simulation offer
unmatched yet largely unexplored potential to address C2 questions along these lines. The
central problem is, this kind of C2 organization modeling and simulation capability has yet to be
developed and demonstrated in the TASP domain. This is where our ongoing research project
begins to make an important contribution. In this article, we motivate and introduce such TASP
research, and we provide an overview of the computational environment used to model and
simulate TASP C2 organizations and phenomena. We follow in turn with an approach to
characterizing a matrix of diverse TASP C2 contexts, as well as a strategy for specifying, tailoring
and using this computational environment to conduct experiments to examine such contexts.
We conclude then by summarizing our agenda for continued research along these lines.
Description
19th ICCRTS, Toward Computational Modeling of C2 for Teams of Autonomous Systems and People, Autonomy Track – Paper 116
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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