Name: Using Agent-Based Modeling to Search for Elusive Hiding Targets (en Inglés)
SKU: 59799884
Price: 24.16 USD
Availability: InStock
Author: Rucker, Jeffrey E.
ISBN: 9781288308194

portada Using Agent-Based Modeling to Search for Elusive Hiding Targets (en Inglés)

Using Agent-Based Modeling to Search for Elusive Hiding Targets (en Inglés)

Formato

Libro Físico

Autor

Jeffrey E. Rucker

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

104

Encuadernación

Tapa Blanda

Dimensiones

24.6x18.9x0.6 cm

Peso

0.20 kg.

ISBN13

9781288308194

Categorías

Educación

Using Agent-Based Modeling to Search for Elusive Hiding Targets (en Inglés)

Jeffrey E. Rucker (Autor) · Biblioscholar · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 23 días háb.

$ 48.31$ 24.16

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 24.16

Llega entre el 26 Oct y el 09 Nov a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Using Agent-Based Modeling to Search for Elusive Hiding Targets (en Inglés)"

The SCUD hunt problem that emerged during Operation Desert Storm has become a source of great interest to major commands like Air Combat Command. One of the metrics used to measure the effectiveness of our operations in a SCUD hunt is time to detect and target. We use the agent-based System Effectiveness and Analysis Simulation (SEAS) to provide a simulation environment in which all the elements of a SCUD hunt mission can adequately be modeled. Our Blue Force agents are modeled as multirole fighters, satellites and unmanned aerial vehicles (UAV) with various sensor capabilities. The Red Force agents are modeled as SCUD transporter/erector/launchers (TEL). Particular interest is paid to the effectiveness of various sensors modeled in a set of scenarios following an experimental design. Four measures of performance (MOP) were fashioned to provide insight into the contribution of sensors at work in a SCUD hunt. These MOPs were evaluated to show any statistically significant differences between various mixes of sensors.