Palestrante: Leonardo Henrique Moreira
Orientador:Profa Célia Ghedini Ralha
Título: Multi-agent Planning Applied to Evaluate Decision-making Process in Intralogistics Problems
Resumo: Robots are currently being used in many real-world problems, especially intralogistics scenarios where manufacturing and warehousing are continuously performed. Those robots can be affected by exogenous events that cause failures during the execution of their activities, leading to a dynamic environment condition. Thus, robots interact not only with the environment but also with other agents, therefore they require a coordination protocol to guarantee the cooperation and recovery from unexpected events. The intralogistics problem is a real-world application to a multi-agent planning model where agents are seen as autonomous mobile robots (AMR). Related work highlights the autonomy level and investigates different strategies for applying a decision-making process. However, there is a gap in the literature regarding an analysis of the conditions that makes a decentralized decision-making process more suitable than a centralized control in a dynamic environment. This study investigates how strongly connected AMRs are, according to their nature and the conditions and effects of the actions they can execute. We contribute to the research area by detailing how the analysis of features of the intralogistics scenario can be useful to identify the most suitable decision-making strategy to AMRs such dynamic environments. Finally, we suggest some future works on the area.
Horário: 14h30
Palestrante: Cássio Couto Coelho
Orientador:Profa Célia Ghedini Ralha
Título: MASE-EGTI: Evolutionary Game Theory Agent-Based Simulator for Environmental Land Change
Resumo: In this work we present the MASE-EGTI to perform simulations of spatially explicit and agent-based models with interactional submodels based on evolutionary game theory (EGT). We depart from the Multi-Agent System for Environmental (MASE) simulation model presented by Ralha et al. (2013). As well as MASE’s extention (MASE-BDI) presented in Coelho et al. (2016) – which employs the Belief-Desire-Intention mentalistic reasoning model as conceived by Bratman (1987). Thus, MASE-EGTI puts forward an agent-based model that implements a wide range of competing assumptions consistent with the essence of EGT to allow analytical equilibrium ranges representing real-world scenarios.
Horário: 15h
Palestrante: Tiago Henrique Faccio Segato
Orientador:Profa Célia Ghedini Ralha
Título: Proposta de Sistema Multiagente para Controle Glicêmico de Pacientes em UTI
Resumo: Este trabalho apresenta a proposta de um sistema multiagente (SMA) para o controle glicêmico de pacientes em unidade de terapia intensiva (UTI). O mecanismo de inferência dos agentes é baseado em regras de produção e lógica fuzzy intuicionista. O objetivo dos agentes é monitorar e recomendar o tratamento, a fim de manter a glicemia dos pacientes dentro da faixa-alvo. Assim, evitando complicações na saúde dos pacientes e até reduzindo as taxas de morbi mortalidade na UTI. No trabalho será apresentado a arquitetura SMA, bem como a modelagem feita com a metodologia Tropos e o framework i* usando a ferramenta piStar. Um cenário simplificado será apresentado para ilustrar o SMA.