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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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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (353 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | 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 | |
| Persona (resp. second.): | RochaAna Paula |
| SteelsLuc | |
| van den HerikJaap | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Agents and artificial intelligence ![]() |
| ISBN: | 3-031-10161-8 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910585770703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |