1. Here we are 3rd review meeting Cartif-Brussels 17/12/2014

2. The schdule Deliverable completion rate= 36/47 Milestone completion rate= 7/12 State of the project: Enabling system: complete Information management: complete Intelligence: in refinement phase Large scale experiment: in preparation Exploitation: big issue, great efforts

4. At the beginning of deployment  MS5: Wireless protocol fixed ->achieved  MS6: Small scale SandS Asset running -> achieved  MS7:Rule generator running -> partially achieved  MS8: Social network infrastructure fixed-> partially achieved

5. WP NoTitle 161718192021222324252627282930313233 4Wireless networking MS5 5Rule system MS7 6Social networking MS8 MS12 7Small scale MS6 8Large scale experiment MS9MS10 9 Dissemination and Expoitation MS11 10Management MS12

7. Starting from facts: Cartif mockup Twin mockups Cartif for demonstration Milano for prototyping Both for rxperimentig All planned appliances in site All appliances connected to DI Experiment campaign started Functional tests in progress

8. Metro Map All the stations are connected, all convoys are operating, the ESN stations are still under completion

9. What social things are  Things ◦ directly conducted by a social network of facts ◦ thanks to a continuous optimization process ◦ based on the learning of the users’ needs and preferences Optimization engine User Preference learning

10. The overall procedure in three steps  Mining  Fuzzy System Inference  Reinforcement learning TASK Candidate RECIPES finetuned RECIPE Improved RECIPE MINING FIS RL Similarity module OK Fuzzy inference system OK Reinforcement Learning OK Their refinement and integration in progress Open Source thread in operation

11. Moving to large scales  All agreements with the FIRE facilities have been established  Testing methods have been agreed as well  Some experiments on PlanetLab Slice have already started  Good news: no money required by the facilities (as academy)

12. Exploitation: great deal, great challenge New Icon Intermediate Exploitation plan Portal http://37.187.78.130/portal/index.phphttp://37.187.78.130/portal/index.php Many meetings with companies

13. Problems and delays  We are at point where the learning results depend on the collected data. Still worse the data must be collected online  The good thing is that the algorithms learn form a relatively short training set  Social network suffers by the same problem. A concrete instantiation starts from a non disregardable (though not enormous) database. Thus,  The two problems find an adequate solution in a serious collection of experimental data

14. Future (and final) steps of the project  TRAINING ◦ Algorithms refinements Selfish IFS RL  ESPERIMENTS ◦ Mockup experimets: Dta collectio Stress tests ◦ Large scale experiments Robustenss Scalability Integrability  EXPLOITATION ◦ Companies ◦ Startups  RESUMING ◦ Manuals ◦ Conclusions

15. The agenda 2.00-2.20here we are +metroinfoUNIMI 2.20-2.35mockup installationsCARTIF 2.35-2.50mockup information managementGORE 2.50-3.05information underground hub DINTUA 3.05-3.20protocolsLBL 3.20-3.35interfaceAMIS 3.35-3.55intelligence-FISUNIMI 3.55 - 4.05embodiment, similarity moduleNTUA 4.05-4.15RLUPV 4.15-4.30large scaleAMIS 4.30-4.40GenthARD 4.40-5.00eploitaton planCARTIF 5.00-6.00Commission recommendations