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Harnessing supervised learning techniques for the task planning of Ambulance rescue agents /

Fadwa Maged Elhussieny Abdo Sakr

Harnessing supervised learning techniques for the task planning of Ambulance rescue agents / Fadwa Maged Elhussieny Abdo Sakr ; Supervied Slim Abdennadher - Cairo : Fadwa Maged Elhussieny Abdo Sakr , 2016 - 51 Leaves : charts , facsimiles ; 30cm

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

ETD Learning techniques RoboCup Rescue project