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.

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.