All life is a competition for the control and use of resources and the world of military endeavou... more All life is a competition for the control and use of resources and the world of military endeavour is no different in this respect. That competition takes place an environment - our world - which is complex. This paper characterises some of the challenges posed and offers strategies ...
In the stressful scenario of a terrorist threat that involves a radiological dispersion device, a... more In the stressful scenario of a terrorist threat that involves a radiological dispersion device, an effective search strategy must be prepared. This problem is highly complex, especially when multiple platforms are deployed. Besides the automated suggestions for an effective search strategy, a remote advice and assist cell can benefit from visual aid in the form of a heat map overlay on a geographical map, which evolves according to both the expected target movements and the observations made by the sensors. Such decision support software can be equipped with optimization algorithms that provide search strategies. However, the algorithms are only as good as the accuracy of the parameter configuration, such as the estimation of the target motion and the search effectiveness of the sensor. In this paper, we focus on the estimation of the latter parameter for two sensors and two types of targets. The first step in this process consists of field experiments to approximate the target dependent sensor ranges. We then describe a fictive but realistic scenario in which a suspect carrying radiological material must be detected to prevent a terrorist attack in the center of a big city. We show how to estimate the parameters for the search effectiveness in this scenario. Finally, in a proof of concept, we compare two algorithms for optimization of a search strategy for multiple searchers. Here, the algorithms are configured using the mentioned parameter estimations. Computational experiments show that the search effectiveness significantly influences the probability of detection throughout the search.
In the stressful scenario of a terrorist threat that involves a radiological dispersion device, a... more In the stressful scenario of a terrorist threat that involves a radiological dispersion device, an effective search strategy must be prepared. This problem is highly complex, especially when multiple platforms are deployed. Besides the automated suggestions for an effective search strategy, a remote advice and assist cell can benefit from visual aid in the form of a heat map overlay on a geographical map, which evolves according to both the expected target movements and the observations made by the sensors. Such decision support software can be equipped with optimization algorithms that provide search strategies. However, the algorithms are only as good as the accuracy of the parameter configuration, such as the estimation of the target motion and the search effectiveness of the sensor. In this paper, we focus on the estimation of the latter parameter for two sensors and two types of targets. The first step in this process consists of field experiments to approximate the target dependent sensor ranges. We then describe a fictive but realistic scenario in which a suspect carrying radiological material must be detected to prevent a terrorist attack in the center of a big city. We show how to estimate the parameters for the search effectiveness in this scenario. Finally, in a proof of concept, we compare two algorithms for optimization of a search strategy for multiple searchers. Here, the algorithms are configured using the mentioned parameter estimations. Computational experiments show that the search effectiveness significantly influences the probability of detection throughout the search.
Joint Battle Rhythm: The timing and scheduled presentation of situation reports, briefings, forma... more Joint Battle Rhythm: The timing and scheduled presentation of situation reports, briefings, formal collaborative sessions, and other required actions during planning and execution. “Deployment Planning Using Collaboration,” A Handbook Supporting Collaborative Planning. JFCOM, JDPO, 2002 Tactical Battle Rhythm: “The U.S. Marine Corps MAGTF Staff Planning Program (MSTP) defines battle rhythm as the ‘process where the commander and his staff synchronize the daily operating tempo within the planning, decision, execution and assessment (PDE&A) cycle to allow the commander to make timely decisions...’ Some of the planning and operating cycles that influence the battle rhythm of the command include intelligence collection, targeting, air tasking orders (ATO), reconnaissance tasking, and the bomb battle damage assessment collection cycles. This battle rhythm is the commander’s battle rhythm. It is his ‘plan of the day.’” Marine Corps Gazette, Vol 8, February 200, pp 34-36 The purpose of bat...
All life is a competition for the control and use of resources and the world of military endeavou... more All life is a competition for the control and use of resources and the world of military endeavour is no different in this respect. That competition takes place an environment - our world - which is complex. This paper characterises some of the challenges posed and offers strategies ...
In the stressful scenario of a terrorist threat that involves a radiological dispersion device, a... more In the stressful scenario of a terrorist threat that involves a radiological dispersion device, an effective search strategy must be prepared. This problem is highly complex, especially when multiple platforms are deployed. Besides the automated suggestions for an effective search strategy, a remote advice and assist cell can benefit from visual aid in the form of a heat map overlay on a geographical map, which evolves according to both the expected target movements and the observations made by the sensors. Such decision support software can be equipped with optimization algorithms that provide search strategies. However, the algorithms are only as good as the accuracy of the parameter configuration, such as the estimation of the target motion and the search effectiveness of the sensor. In this paper, we focus on the estimation of the latter parameter for two sensors and two types of targets. The first step in this process consists of field experiments to approximate the target dependent sensor ranges. We then describe a fictive but realistic scenario in which a suspect carrying radiological material must be detected to prevent a terrorist attack in the center of a big city. We show how to estimate the parameters for the search effectiveness in this scenario. Finally, in a proof of concept, we compare two algorithms for optimization of a search strategy for multiple searchers. Here, the algorithms are configured using the mentioned parameter estimations. Computational experiments show that the search effectiveness significantly influences the probability of detection throughout the search.
In the stressful scenario of a terrorist threat that involves a radiological dispersion device, a... more In the stressful scenario of a terrorist threat that involves a radiological dispersion device, an effective search strategy must be prepared. This problem is highly complex, especially when multiple platforms are deployed. Besides the automated suggestions for an effective search strategy, a remote advice and assist cell can benefit from visual aid in the form of a heat map overlay on a geographical map, which evolves according to both the expected target movements and the observations made by the sensors. Such decision support software can be equipped with optimization algorithms that provide search strategies. However, the algorithms are only as good as the accuracy of the parameter configuration, such as the estimation of the target motion and the search effectiveness of the sensor. In this paper, we focus on the estimation of the latter parameter for two sensors and two types of targets. The first step in this process consists of field experiments to approximate the target dependent sensor ranges. We then describe a fictive but realistic scenario in which a suspect carrying radiological material must be detected to prevent a terrorist attack in the center of a big city. We show how to estimate the parameters for the search effectiveness in this scenario. Finally, in a proof of concept, we compare two algorithms for optimization of a search strategy for multiple searchers. Here, the algorithms are configured using the mentioned parameter estimations. Computational experiments show that the search effectiveness significantly influences the probability of detection throughout the search.
Joint Battle Rhythm: The timing and scheduled presentation of situation reports, briefings, forma... more Joint Battle Rhythm: The timing and scheduled presentation of situation reports, briefings, formal collaborative sessions, and other required actions during planning and execution. “Deployment Planning Using Collaboration,” A Handbook Supporting Collaborative Planning. JFCOM, JDPO, 2002 Tactical Battle Rhythm: “The U.S. Marine Corps MAGTF Staff Planning Program (MSTP) defines battle rhythm as the ‘process where the commander and his staff synchronize the daily operating tempo within the planning, decision, execution and assessment (PDE&A) cycle to allow the commander to make timely decisions...’ Some of the planning and operating cycles that influence the battle rhythm of the command include intelligence collection, targeting, air tasking orders (ATO), reconnaissance tasking, and the bomb battle damage assessment collection cycles. This battle rhythm is the commander’s battle rhythm. It is his ‘plan of the day.’” Marine Corps Gazette, Vol 8, February 200, pp 34-36 The purpose of bat...
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Papers by Alex Bordetsky