Applications of flocking algorithms to input modeling for agent movement
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Simulation flocking has been introduced as a method for generating simulation input from multivariate dependent time series for sensitivity and risk analysis. It can be applied to data for which a parametric model is not readily available or imposes too many restrictions on the possible inputs. This method uses techniques from agent-based modeling to generate a flock of boids that follow the data. In this paper, we apply simulation flocking to a border crossing scenario to determine if waypoints simulated from flocking can be used to provide improved information on the number of hostiles successfully crossing the border. Analysis of the output reveals scenario limitations and potential areas of improvement in the patrol strategy.
Refereed Conference PaperThe article of record as published can be found at http://dx.doi.org/10.1109/WSC.2011.6147953
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Schruben, Lee W.; Singham, Dashi I. (ACM, 2010);Notions from agent based modeling (ABM) can be used to simulate multivariate time series. An example is given using the ABM concept of flocking, which models the behaviors of birds (called boids) in a flock. A multivariate ...
Rich, Oliver E; Rich, Valerie S. (Monterey, California. Naval Postgraduate School, 1997-03);Intranets, internal networks based on the same technology and protocol as the World Wide Web, have emerged in the past two years as a very popular medium for communication and information exchange within organizations. ...
Wang, Long; Shi, Hong; Chu,Tianguang; Zhang, Weicun; Zhang, Lin (2005);This paper considers a group of mobile autonomous agents moving in Euclidean space with point mass dynamics. We introduce a set of coordination control laws that enable the group to generate the desired stable flocking ...