Submitted by PPG Ci?ncia da Computa??o (ppgcc@pucrs.br) on 2018-12-13T11:02:57Z No. of bitstreams: 1 Laura Mattos Flach_DIS.pdf: 7411445 bytes, checksum: 79da01d37fd4c16d4a855011a79c3773 (MD5) / Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-12-17T16:10:07Z (GMT) No. of bitstreams: 1 Laura Mattos Flach_DIS.pdf: 7411445 bytes, checksum: 79da01d37fd4c16d4a855011a79c3773 (MD5) / Made available in DSpace on 2018-12-17T16:16:06Z (GMT). No. of bitstreams: 1 Laura Mattos Flach_DIS.pdf: 7411445 bytes, checksum: 79da01d37fd4c16d4a855011a79c3773 (MD5) Previous issue date: 2013-03-15 / This work presents the utilization of procedural modelling to populate environments with virtual agents. It uses previously procedurally generated environments together with a crowd simulator to generate the agents locomotion. This work creates groups based on semantic informations of the environment to be populated and on data retrieved from IBGE for the population of Porto Alegre. It also generates behaviour for each member of the group created. These behaviours are coherent to the environment, to the group?s and member?s characteristics and also to time. All of these characteristics and specifications are transformed into seeds, wich makes the persistence of the data possible (the possibility of the regeneration of the context at any moment without the use of data structures) and the execution more simple (the model is fully automatic). / Este trabalho apresenta a utiliza??o de modelagem procedural para povoar ambientes com agentes virtuais. S?o utilizados ambientes previamente gerados tamb?m de forma procedural, juntamente com um simulador de multid?es para realizar a locomo??o dos agentes. O trabalho, al?m de criar grupos que se baseiam em informa??es sem?nticas do ambiente a ser povoado e em dados retirados do IBGE em rela??o ? popula??o de Porto Alegre, gera comportamentos para cada membro do grupo. Estes comportamentos gerados s?o coerentes com o ambiente, ?s caracter?sticas do grupo e do pr?prio membro, e ao tempo. Todas estas caracter?sticas e especifica??es s?o transformadas em seeds, o que permite a persist?ncia dos dados (possibilita que o contexto seja gerado novamente a qualquer momento sem a utiliza??o de estruturas de dados) e facilita a execu??o (o modelo ? totalmente autom?tico).