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Typus
Verschleierung
Bearbeiter
Hindemith
Gesichtet
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Untersuchte Arbeit:
Seite: 87, Zeilen: 12-32
Quelle: CNS_2002
Seite(n): 18, 105, Zeilen: 18:16-17; 105:14ff
Professor Carley and her colleagues are working on a number of projects related to counterterrorism. All their models contain AI, complexity approaches, and are multi-agent.
  • BIOWAR –Carley, K., M.; Douglas B. Fridsma; Alex Yahja (2002) described “BIOWAR”; a simulation system that uses cognitively realistic agents embedded in social, knowledge and work networks. The idea is to describe how people participating in these networks acquire disease, manifest symptoms, seek information and treatment, and recover from illness. The system uses a model of diseases and symptoms to analyse the agents who come in contact with infectious agents through their social and work networks become ill. The illnesses alter their behavior, changing both the propagation of the disease, and the manifestation of the disease on the population. A number of simulations were completed by them that were targeted to examine the effect of contagious and non-contagious illnesses in high-alert (agents have knowledge of a potential disease outbreak) or low alert states. Agents who believe they may be ill and have knowledge of a potential outbreak are more likely to seek care than those who do not.
Professor Carley described six ongoing projects related to counterterrorism being conducted by her research group. All their models contain AI, complexity approaches, and are multi-agent.

[page 105]

We describe a simulation system called BIOWAR which uses cognitively realistic agents embedded in social, knowledge and work networks to describe how people interacting in these networks acquire disease, manifest symptoms, seek information and treatment, and recover from illness. Using a model of diseases and symptoms, agents who come in contact with infectious agents through their social and work networks become ill. These illnesses alter their behavior, changing both the propagation of the disease, and the manifestation of the disease on the population.

Presently, we have completed a number of simulations which examine the effect of contagious and non-contagious illnesses in high-alert (agents have knowledge of a potential disease outbreak) or low alert states. Agents who believe they may be ill and have knowledge of a potential outbreak are more likely to seek care than those who do not.

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