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3 Network Sciences Division
Pages 28-35

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From page 28...
... These principles and laws serve as the foundation for the creation of algorithms which may be leveraged for autonomous system reasoning." The programs are Multi-Agent Network Control, Wireless and Hybrid Communication Networks, Social and Cognitive Networks, Communications and Hybrid Networks, Intelligent Information Networks, and Network Science and Intelligent Systems (an international program) .1 Four of the Network Sciences programs were presented for review: Multi-Agent Network Control, Social and Cognitive Networks, Communications and Hybrid Networks, and Intelligent Information Networks.
From page 29...
... 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.
From page 30...
... This approach increases the likelihood of overall program success and helps the program manager avoid inadvertent immersion and adhering to a single approach. The Social and Cognitive Networks Program capitalizes on recent scientific developments in unobtrusive measurement techniques to extend and deepen the models of cognitive dimensions of teamwork, with a particular emphasis on transactive memory systems.
From page 31...
... Scientific Opportunity In all three areas the specific project goals, scientific barriers, and proposed approaches provide a reasonable basis to believe that the objectives will be met. Significant Accomplishments Preliminary results indicate high PI productivity and outside recognition.
From page 32...
... 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 owing 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 Overall 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.
From page 33...
... 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 Overall Scientific Quality and Innovation The Network Sciences 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.
From page 34...
... The programs in this division address the wide variety of network topics beyond communication networks, although that is a central topic that they address. The high-quality research on social, cognitive, and information networks is to be commended.
From page 35...
... This has two important benefits: (1) 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)


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