Our Security Orchestration and Automation (SOAR) Paper Publishes It is with much excitement that we announce the publication of “ Preparing Your Security Operations for Orchestration and Automation Tools ”, our epic SOAR paper. Select favorite quotes are: “Test the SOAR tool integration with the tools to be used on your desired use cases.
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Through operations research, Project SOAR determines how best to address challenges and gaps that remain in the delivery of HIV and AIDS care and support, treatment, and prevention services. Project SOAR is producing a multifaceted body of high-quality evidence to guide the planning and implementation of HIV and AIDS programs and policies.
We are in the process of adding reinforcement learning to Soar. This paper is the first publication on the work. Nason, S. and Laird, J. E., Soar-RL, Integrating Reinforcement Learning with Soar, International Conference on Cognitive Modeling, 2004.. SCA, has been used extensively in other Soar research projects with a simple demonstration.
Historical Figures Research Project: The Next Step. Once my students gathered all their research, we could have finished up our project a few different ways. Write a research paper using the information you learned, with your brochure acting as an outline; Complete a Google Slide presentation about your historical figure, complete with images!
It was honestly such an enriching experience and I am very fortunate I was able to receive a grant to conduct this research project, with such a great mentor. All other students should take advantage of the SOAR program at Moravian College because they will learn a lot about themselves, in addition to doing such great work for their given topic.
Soar is a cognitive architecture, originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University. (Rosenbloom continued to serve as co-principal investigator after moving to Stanford University, then to the University of Southern California's Information Sciences Institute.) It is now maintained and developed by John Laird's research group at the University.
A research project conducted by the NASA Dryden Flight Research Center (Edwards, California) developed and tested autonomous soaring algorithms using the small UAV shown in figure 1. The single objective of the project was to flight test a set of algorithms designed to autonomously detect and utilize thermals for energy gain.
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