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Intelligent Systems de André Britto

Intelligent Systems: Lecture Notes in Computer Science, cartea 13073

Editat de André Britto, Karina Valdivia Delgado
en Limba Engleză Paperback – 28 noi 2021
The two-volume set LNAI 13073 and 13074 constitutes the proceedings of the 10th Brazilian Conference on Intelligent Systems, BRACIS 2021, held in São Paolo, Brazil, in November-December 2021.
 The total of 77 papers presented in these two volumes was carefully reviewed and selected from 192 submissions.The contributions are organized in the following topical sections: Part I: Agent and Multi-Agent Systems, Planning and Reinforcement Learning; Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization, Knowledge Representation, Logic and Fuzzy Systems; Machine Learning and Data Mining. Part II: Multidisciplinary Artificial and Computational Intelligence and Applications; Neural Networks, Deep Learning and Computer Vision; Text Mining and Natural Language Processing.
 Due to the COVID-2019 pandemic, BRACIS 2021 was held as a virtual event.

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Specificații

ISBN-13: 9783030917012
ISBN-10: 3030917010
Pagini: 572
Ilustrații: XXIII, 546 p. 154 illus., 96 illus. in color.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.86 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Agent and Multi-Agent Systems, Planning and Reinforcement Learning.- A Conversational Agent to Support Hospital Bed Allocation.- A Protocol for Argumentation-based Persuasive Negotiation Dialogues.- Gradient Estimation in Model-Based Reinforcement Learning: a Study on Linear Quadratic Environments.- Intelligent Agents for Observation and Containment of Malicious Targets Organizations.- MAS4GC: Multi-Agent System for Glycemic Control of Intensive Care Unit Patients.- On the impact of MDP design for Reinforcement Learning agents in Resource Management.- Slot Sharing Mechanism in Multi-Domain Dialogue Systems.- Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization.- A Graph-based crossover and soft-repair operators for the Steiner Tree Problem.- A Modified NSGA-DO for Solving Multiobjective Optimization Problems.- An Enhanced TSP-based Approach for Active Debris Removal Mission Planning.- Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems.- Hyper-Heuristic based NSGA-III for the Many-Objective Quadratic Assignment Problem.- I2DE: Improved Interval Differential Evolution for Numerical Constrained Global Optimization.- Improving a genetic clustering approach with a CVI-based objective function.- Improving particle swarm optimization with self-adaptive parameters, rotational invariance, and diversity control.- Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator.- Lackadaisical quantum walk in the hypercube to search for multiple marked vertices.- On the Analysis of CGP Mutation Operators when Inferring Gene Regulatory Networks using scRNA-Seq Time Series Data.- Online selection of heuristic operators with Deep Q-Netowrk: a study on the HyFlex Framework.- Knowledge Representation, Logic and Fuzzy Systems.- A Systematic Approach to Define Semantics for Prioritised Logic Programs.- Active Learning and Case-Based Reasoning for the Deceptive Play in the Card Game of Truco.- ASPIC? and the Postulates of Non-Interference and Crash-Resistance.- On the Refinement of Compensation-based Semantics for Weighted Argumentation Frameworks.- Ontology based classification of electronic health records to support value-based health care.- Machine Learning and Data Mining.- A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data.- A Comparative Study on Concept Drift Detectors for Regression.- A Kullback-Leibler divergence-based locally linear embedding method: a novel parametric approach for cluster analysis.- Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes.- Coarsening Algorithm via Semi-Synchronous Label Propagation for Bipartite Networks.- Evaluating Clustering Meta-Features for Classifier Recommendation.- Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification.- Interpreting classification models using feature importance based on marginal local effects.- On the generalizations of the Choquet integral for application in FRBCs.- Optimizing Diffusion Rate and Label Reliability in a Graph-based Semi-supervised Classifier.- Tactical Asset Allocation through Random Walk on Stock Network.