Titlebook: Intelligent Systems; 9th Brazilian Confer Ricardo Cerri,Ronaldo C. Prati Conference proceedings 2020 Springer Nature Switzerland AG 2020 cl

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André Luis Cristiani,Tiago Pinho da Silva,Heloisa de Arruda Camargo

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Miriam Oliveira dos Santos,Carlos Eduardo Ribeiro de Mello,Tadeu Moreira de Classe

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Type-1-Diabetes

A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Ded here. The proposal is evaluated using problems of a benchmark from the literature. The results obtained indicate that the proposed adaptive mutation is promising and that its relative performance increases with the size of the problem.

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AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systemssimulations, but not always provided a connection with ontologies resources. This study proposes the AgentDevLaw middleware that integrates platforms of agents’ simulation with an existent legal ontology. The application of the software component is exemplified and tested with simulation scenarios i

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Application-Level Load Balancing for Reactive Wireless Sensor Networks: An Approach Based on Constraes per event, only reducing the lifetime of the network by an estimable time. Experimental results pointed out that the proposed approach allows the network, while alive, to sense all happened events each day, and its performance is better than the one achieved by the state-of-the-art for lower dens

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jagged

Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning, so far, there has been only one approach to find an extreme . feasible i.e., an extreme risk-averse policy. In this work we propose and compare new approaches to finding the extreme feasible . value for a given ., and to return the corresponding extreme risk-averse policy. Experiments on three ben

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A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency Moreover, aiming for more flexible learning to deal with the uncertainties inherent in data streams, we consider the use of fuzzy set theory concepts. Therefore, we propose a method for classification and novelty detection in data streams called Fuzzy Classifier with Novelty Detection for data stre