Harnessing supervised learning techniques for the task planning of Ambulance rescue agents / Fadwa Maged Elhussieny Abdo Sakr ; Supervied Slim Abdennadher

By:

Fadwa Maged Elhussieny Abdo Sakr

Contributor(s):

Slim Abdennadher []

Material type: Text

TextLanguage: English Publication details: Cairo : Fadwa Maged Elhussieny Abdo Sakr , 2016Description: 51 Leaves : charts , facsimiles ; 30cmSubject(s):

Dissertation note: Thesis (M.Sc.)- Garman University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science Summary: One of the challenging problems in artificial intelligence and multi-agents systems is the RoboCup Rescue project that was established in 2001. The Rescue simulation provides a broad test bench for many algorithms and approaches in the field of artificial intelligence. The Simulation presents three types of agents: police agents, firebrigade agents and ambulance agents

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Item type	Current library	Home library	Call number	Status	Date due	Barcode
Thesis	قاعة الثقاقات الاجنبية - الدور الثالث	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.34.M.Sc.2016.Fa.H (Browse shelf(Opens below))	Not for loan		01010110072398000

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Thesis (M.Sc.)- Garman University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science

One of the challenging problems in artificial intelligence and multi-agents systems is the RoboCup Rescue project that was established in 2001. The Rescue simulation provides a broad test bench for many algorithms and approaches in the field of artificial intelligence. The Simulation presents three types of agents: police agents, firebrigade agents and ambulance agents

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