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Record Nr. |
UNINA9910585770703321 |
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Titolo |
Agents and Artificial Intelligence : 13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers / / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (353 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13251 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer science |
Computers |
Computers, Special purpose |
Image processing - Digital techniques |
Computer vision |
Artificial Intelligence |
Theory of Computation |
Computing Milieux |
Special Purpose and Application-Based Systems |
Computer Imaging, Vision, Pattern Recognition and Graphics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Agents -- Specification Aware Multi-Agent Reinforcement Learning -- Task Bundle Delegation for Reducing the Flowtime -- A Detailed Analysis of a Systematic Review about Requirements Engineering Processes for Multi-Agent Systems -- Automatically-generated Agent Organizations for Flexible Workflow Enactment -- Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem -- Artificial Intelligence -- Utilizing Out-domain Datasets to Enhance Multi-task Citation Analysis -- Using Possibilistic Networks to Compute Learning Course Indicators -- Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems -- How to Segment Handwritten Historical Chronicles using |
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Fully Convolutional Networks? -- On the Relationship with Toulmin Method to Logic-based Argumentation -- Informer: An efficient Transformer Architecture using Convolutional Layers -- Improving the Generalization of Deep Learning Classification Models in Medical Imaging using Transfer Learning and Generative Adversarial Networks -- An Interpretable Word Sense Classifier for Human Explainable Chatbot -- A Tsetlin Machine Framework for Universal Outlier and Novelty Detection -- Adding Supply/Demand Imbalance-sensitivity to Simple Automated Trader-agents -- Advances in Measuring Inflation within Virtual Economies using Deep Reinforcement Learning -- Practical City Scale Stochastic Path Planning with Pre-computation. |
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Sommario/riassunto |
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This book constitutes selected papers from the refereed proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, which was held online during February 4–6, 2021. A total of 72 full and 99 short papers were carefully reviewed and selected for the conference from a total of 298 submissions; 17 selected full papers are included in this book. They were organized in topical sections named agents and artificial intelligence. |
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