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[null,"1.","Record Nr.",null,"UNINA9910585770703321"]
[null,null,"Titolo",null,"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"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"3-031-10161-8"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (353 pages)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13251"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Computers, Special purpose"]
[{"$nulls":4},"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Theory of Computation"]
[{"$nulls":4},"Computing Milieux"]
[{"$nulls":4},"Special Purpose and Application-Based Systems"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"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."]
[null,null,null,"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."]