Assessment of the Information Sciences Directorate at the Army Research Office (2019) / Chapter Skim
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3 Network Science Division
3 Network Science Division
Pages 18-25
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From page 18... ...
; co-evolving networks (stochastic dynamical systems of interacting agents -- i.e., to design new frameworks for describing and analyzing dynamics of asymmetric network interactions between heterogeneous agents) ; and collective information processing (i.e., to create distributed information collection and processing systems for inference, prediction, and control of system-level dynamics, with special attention paid to emerging properties in interactive learning in distributed state estimation)
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From page 19... ...
For both, polymers would be well-suited; it is the distributed control that the body exhibits with clotting and scabbing that would allow the basic research developed here to save soldier lives when applied. Significant Accomplishments Several impressive accomplishments were identified: new frameworks for distributed control, based on reduction to optimization and proof that it works for linear time-invariant systems; a new framework to account for global temporal constraints by mixing discrete and continuous control under uncertainty; experimentation with swarm behavior of insects, deriving global principles; and evolutionary game theory-based formalization of interacting networks in nature.
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From page 20... ...
In both areas the specific project goals, scientific barriers, and proposed approaches provide a reasonable basis to believe that the objectives will be met. Significant Accomplishments The preliminary accomplishments have provided new and interesting insights with respect to factors affecting performance of human teams, and the formation of deviant cyber flash mobs.
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From page 21... ...
The preliminary accomplishments included interesting new insights in multiple-input and multiple-output systems (e.g., the study of robustness of the interference alignment technique) , optimal real-time network traffic scheduling with tight deadlines, and autonomous sharing of a limited quality channel.
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From page 22... ...
There are additional opportunities to transition novel approaches for controlling end-to-end delay bounds -- for example, in DARPA programs where backpressure-based scheduling policies have been used due to throughput optimality in the wide area -- while for tactical wireless networks used by deployed Army warfighters, the channel state information is often uncertain or unknown, and the new work supported by the ARO may lead to better performance of DARPA approaches in this specific Army network scenario. INTELLIGENT INFORMATION NETWORKS PROGRAM Scientific Quality and Degree of Innovation Three of the four basic research objectives -- algorithmic game theory, reasoning about crowds, and algorithms for network inference -- were articulated very clearly.
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From page 23... ...
For example, the Iterated Feature Boosted Decision Tree scheme used to improve patrol placement to deter poachers in Uganda is applicable to similar Army roles such as peacekeeping in urban areas. OVERALL ASSESSMENT OF THE NETWORK SCIENCE DIVISION Scientific Quality and Innovation The Network Science Division has, despite its small size, supported a broad swath of strong basic science that in spite of a long time horizon is directed toward areas of anticipated future needs of the U.S.
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From page 24... ...
ARO program managers engage in an interactive process with proposers to mature ideas into projects through discussion, white papers, and the Short-Term Innovative Research program. ARO program managers are hands-on managers of their projects; this may be a function of the process whereby program managers work with potential proposers (which NSF does not generally do)
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From page 25... ...
ARO program managers seek opportunities, in particular with other DoD components such as DARPA, to keep the basic research results alive in the research and development ecosystem; and (2) ARO program managers are encouraged to trace the progress of an idea from its origins in basic research through development, deployment, and use.
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