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020 _a9783031101618
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024 7 _a10.1007/978-3-031-10161-8
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050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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_223
245 1 0 _aAgents and Artificial Intelligence
_h[electronic resource] :
_b13th International Conference, ICAART 2021, Virtual Event, February 4-6, 2021, Revised Selected Papers /
_cedited by Ana Paula Rocha, Luc Steels, Jaap van den Herik.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXIV, 341 p. 143 illus., 89 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13251
505 0 _aAgents -- 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.
520 _aThis 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.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science.
_99832
650 0 _aComputers.
_98172
650 0 _aComputers, Special purpose.
_946653
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_9116902
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aTheory of Computation.
_9116903
650 2 4 _aComputing Milieux.
_955441
650 2 4 _aSpecial Purpose and Application-Based Systems.
_946654
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
700 1 _aRocha, Ana Paula.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9116904
700 1 _aSteels, Luc.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9116905
700 1 _avan den Herik, Jaap.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9116906
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031101601
776 0 8 _iPrinted edition:
_z9783031101625
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13251
_9116908
856 4 0 _uhttps://doi.org/10.1007/978-3-031-10161-8
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