Accession Number:

ADA613831

Title:

Computational Experimentation to Understand C2 for Teams of Autonomous Systems and People

Descriptive Note:

Technical rept. 1 Oct 2013-31 Dec 2014

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF INFORMATION SCIENCES

Personal Author(s):

Report Date:

2014-12-12

Pagination or Media Count:

138.0

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 experimentation offers unmatched yet largely unexplored potential to address C2 questions along these lines. The central problem is, this kind of C2 organization experimentation 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 experiment on TASP C2 organizations and phenomena. We summarize in turn the research method. Key results follow, and we conclude then by summarizing our agenda for continued research along these lines.

Subject Categories:

  • Command, Control and Communications Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE