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R1-Transport-model-2016Q2 duration 7 minutes 33 seconds R1-Transport-model-2016Q2 R1-Transport-model-2016Q2	R1-Transport-model-2016Q2 model agents problem assignment areas agent summation e. d. herodotus ages transportation negativity cost network solution integer t. slots k. unlisted From Dr Marcus ANG Teck Meng _ 0 likes 289 plays
D) Test iNet via Published in Channel Restricted… duration 41 seconds D) Test iNet via Published in Channel Restricted… D) Test iNet via Published in Channel Restricted Access and Unlisted	D) Test iNet via Published in Channel Restricted Access and Unlisted future tasks agents humans workplace run technologies td seo interaction agent centre singapore conclusion From Ms CHANG Ching Chen _ 0 likes 9 plays
AI In Our Environments duration 9 minutes 29 seconds AI In Our Environments AI In Our Environments	AI In Our Environments As the rate of urbanisation and technology adoption increases, our urban environments are becoming rapidly inter-connected and embedded with intelligent agents. Such agents can sense their… smusg sis urban environment ai ecosystems computation techniques #automation agents operate unbanisation technology data sensing user surrounding interactions optimise objectives multi-agent intelligent aritificial maritime strategy seaports traffic control taxi podcastpublished smuarchive From Ms CHANG Ching Chen _ 0 likes 26 plays Storage Options smuarchive