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Articial societies immersed in an Ambient Intelligence Environment

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Articial societies immersed in an Ambient Intelligence Environment

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Articial societies immersed in an Ambient Intelligence Environment

  1. 1. Articial societies immersed in an Ambient Intelligence Environment Teresa Garcia-Valverde, Emilio Serrano, Juan A. Botia, Antonio Gomez-Skarmeta and Jose M. Cadenas {mtgarcia,emilioserra,juanbot,skarmeta,jcadenas}@um.es University of Murcia 8 de julio de 2009 Teresa Garcia-Valverde Et al. Societies in AmI environments
  2. 2. Proposal and motivation The use of MABS (multi-agent based simulations) to develop and test AmI (Ambient Intelligence) applications Applications where intelligent embedded objects into an environment that is able to recognize and to respond to dierent individuals Real tests may be too costly or impractical. Thousands of tests Thousands of people Emergencies Simulations can be used Great exibility. Cheap and very expressive. Replacing other modes of simulation. sociology, biology, physics, chemistry, ecology, economy, etc. Teresa Garcia-Valverde Et al. Societies in AmI environments
  3. 3. Application Used for emergency management in a real building, the European Center of Business and Innovation (CEEIM) at the University of Murcia. http://www.ceeim.es/ Teresa Garcia-Valverde Et al. Societies in AmI environments
  4. 4. Application (II) For the emergency management case is simulated: A building People Fire AmI devices: Sensors Actuators AmI applications The behavior can be observed by Displays of oors Displays of stairs 3D History of deaths Charts Presentation video UbikSim.mp4 http://ubiksim.sourceforge.net Teresa Garcia-Valverde Et al. Societies in AmI environments
  5. 5. Conguring ubiksim Simulation can be congured for specic targets Building: Number of: Floors Corridors Rooms Stairs Width of: Corridors Stairs Doors etc Fire: Combustibility of the environment Ignition temperature People: Number of people Distance to perceive: Fire Actuators Other people eeing Speed etc AmI devices: Number and position. Distance to detect emergencies etc Teresa Garcia-Valverde Et al. Societies in AmI environments
  6. 6. AmISim architecture Realism is important Real features should be integrated The following parts must be considered in an AmI simulator Environment model. A model to describe the physical world. Agent model. A complex multi-agent model that simulates physical and human behaviour. Context model. This model gathers, interprets, and stores the contextual information. Adaptation model. A model capable of supporting applications and services which use contextual information. Teresa Garcia-Valverde Et al. Societies in AmI environments
  7. 7. AmISim architecture (II) Simulation ⇒ Ubiksim ⇒ Agent model and Enviroment model Real features ⇒ Adaption model and Context model Teresa Garcia-Valverde Et al. Societies in AmI environments
  8. 8. AmISim architecture (III) AMISIM IS FLEXIBLE!, everything can be changed easily. The user can: Adapt it to a specic building (environment model) Change the type of AmI applications (adaptation model) Include assumptions and new congurations etc Teresa Garcia-Valverde Et al. Societies in AmI environments
  9. 9. Examples of AmI applications Three AmI applications for evacuation have been developed and tested Evil Deactivates the actuators The agents cannot receive any re alarm. Simple Activates all the actuators of the building if a re is detected. Calculates the direction and distance from the re. Actuators suggest directions to people. Stupid As the simple but without suggesting directions. Teresa Garcia-Valverde Et al. Societies in AmI environments
  10. 10. Examples of results Results for: 300 tests were performed simulating a building with three oors and 300 workers (res at random positions). Average of saved and died agents: Teresa Garcia-Valverde Et al. Societies in AmI environments
  11. 11. Examples of results (II) Besides the saved and died agents... we can analyze numerous elements to improve/test our AmI applications propagation of re per unit of time average of time to escape from each oor deaths following suggestions from an actuator average of time needed by sensors to detect re agents using each stairway per unit of time ...without simulations this kind/number of tests could not be done Teresa Garcia-Valverde Et al. Societies in AmI environments
  12. 12. Examples of results (III) For example: How many agents have... ...ed because of a re? ...ed because of an actuator? ...followed suggestion from actuators? Results for the simple application: Most of the agents start escaping after seeing an actuator Most of these are saved. ...but only half have been saved following suggestions from actuators. Teresa Garcia-Valverde Et al. Societies in AmI environments
  13. 13. Conclusions and future works The MABS are very useful to develop and test AmI applications The proposal provides a simulation framework which can test scenarios that would be impossible in real environments Shown: It is being used in real cases. It is very exible. Strategies for an adequate evacuation. How to evaluate those strategies. Future work will focus on testing our simulator using more real examples New strategies for evacuation. Teresa Garcia-Valverde Et al. Societies in AmI environments
  14. 14. Thank you very much for your attention Contact: {mtgarcia,emilioserra,juanbot,skarmeta,jcadenas}@um.es More on http://ubiksim.sourceforge.net Teresa Garcia-Valverde Et al. Societies in AmI environments

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