Aplicação de técnicas de inteligência computacional no apoio à decisão em jogo de empresas

Detalhes bibliográficos
Ano de defesa: 2014
Autor(a) principal: Barros Junior, Daniel Ferreira de lattes
Orientador(a): Araújo, Sidnei Alves de lattes
Banca de defesa: Junqueira, Leonardo lattes, Chaves, Marcirio Silveira lattes
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Nove de Julho
Programa de Pós-Graduação: Programa de Pós-Graduação de Mestrado e Doutorado em Engenharia de Produção
Departamento: Engenharia
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://bibliotecatede.uninove.br/handle/tede/976
Resumo: The business games present themselves as differentiated pedagogical tool for directing the focus of the class and the dynamics of student learning. The efforts in developing business games result in several solutions. However, a typical problem in these teaching tools is the access of the student to feedback or online assistance of the simulation, mainly due to the number of teams involved in the game and the amount of data generated by simulations. This challenge was observed in the game, called SIMULADOR DE ADMINISTRAÇÃO EMPRESARIAL (SAE), for teaching the concepts of production management, sales and business strategies. This study investigates the use of computational intelligence techniques, including Artificial Neural Networks, Fuzzy Logic, Decision Trees, Multiagent Systems and techniques of the Data Mining, to support the decision of the players and the teacher during the simulations in the game, mainly aiming at reducing the problems of feedback to the player and increasing dynamics of the game.