MASE

2018

Carolina Gonçalves Abreu. An Empirical Workflow of Uncertainty Quantification to Evaluate Agent-based Simulation Outputs Aiming Analytical Confidence. 2018. Tese (Doutorado em Informática) - Universidade de Brasília, . Orientador: Célia Ghedini Ralha. Disponível BCE/UnB https://repositorio.unb.br/handle/10482/34097

 

2017

Aldo Henrique Dias Mendes. Agentes Autônomos para Monitoramento e Alocação Dinâmica de Recursos em Nuvem Computacional. 2017. Dissertação (Mestrado em Informática) - Universidade de Brasília, . Orientador: Célia Ghedini Ralha. Disponível BCE/UnB https://repositorio.unb.br/handle/10482/23896

 

2014

Cássio Giorgio Couto Coelho. Agentes Racionais Baseado no Modelo Belief-Desire-Intention para o Sistema Multiagente MASE. 2014. Dissertação (Mestrado em Mestrado em Informática) - Universidade de Brasília, . Orientador: Célia Ghedini Ralha. https://repositorio.unb.br/handle/10482/17448

 

2012

Abreu, C. G. Ferramenta de Simulação com Abordagem de Sistema Multiagente para a Dinâmica de Uso da terra. Dissertação apresentada no Programa de Pós-Graduação do Departamento de Ciência da Computação da Universidade de Brasília para obtenção do título de Mestre em Informática, Brasília, Brasil, 2012. http://monografias.cic.unb.br/dspace/handle/123456789/362 Presentation

Coelho, C. G. C. Desenvolvimento de Ferramenta de Simulação Baseada em Sistemas Multiagente para Gestão Ambiental. Monografia apresentada no Departamento de Ciência da Computação da Universidade de Brasília para obtenção do título de Bacharel em Ciência da Computação, Brasília, Brasil, 2012. http://monografias.cic.unb.br/dspace/handle/123456789/363 Presentation

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Multi-Agent System for Environmental Simulation


The main objective of this project includes the study and definition of the conceptual model to characterize the behavior of many agents that interact in the dynamics of land use (Land Use/Cover Change-LUCC).

As a result of this project we present the definition and implementation of a computational tool for analyzing environmental scenarios of LUCC. The MASE was developed to enable agent-based simulation scenarios where the influence of socio-economic and political dynamics through the interaction of agents with rules of land use and planning policies are integrated to environmental variables, including physical and spatial.

This group's main purpose is the research and development of computer systems that solve problems that involve the processing of information and knowledge. Several approaches to the treatment of contextual and semantic information has been used, including use of distributed artificial intelligence, mainly with agent-based software models. The technical aspects of rationality of agents as rules of inference, logical frames, genetic algorithms, case-based reasoning, neural networks, qualitative spatial reasoning, ontologies and data mining has been applied.

InfoKnow-Computer Systems for Information and Knowledge Treatment (DETAILS)

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