LEADER 04623nam 22007575 450 001 9910585770703321 005 20251225212334.0 010 $a3-031-10161-8 024 7 $a10.1007/978-3-031-10161-8 035 $a(MiAaPQ)EBC7046600 035 $a(Au-PeEL)EBL7046600 035 $a(CKB)24267687600041 035 $a(PPN)263897109 035 $a(BIP)85113400 035 $a(BIP)84445510 035 $a(DE-He213)978-3-031-10161-8 035 $a(EXLCZ)9924267687600041 100 $a20220718d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgents and Artificial Intelligence $e13th International Conference, ICAART 2021, Virtual Event, February 4?6, 2021, Revised Selected Papers /$fedited by Ana Paula Rocha, Luc Steels, Jaap van den Herik 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (353 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13251 311 08$aPrint version: Rocha, Ana Paula Agents and Artificial Intelligence Cham : Springer International Publishing AG,c2022 9783031101601 320 $aIncludes bibliographical references and index. 327 $aAgents -- Speci?cation 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 Work?ow Enactment -- Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem -- Arti?cial 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 e?cient Transformer Architecture using Convolutional Layers -- Improving the Generalization of Deep Learning Classi?cation Models in Medical Imaging using Transfer Learning and Generative Adversarial Networks -- An Interpretable Word Sense Classi?er 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 In?ation within Virtual Economies using Deep Reinforcement Learning -- Practical City Scale Stochastic Path Planning with Pre-computation. 330 $aThis book constitutes selected papers from the refereed proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, which was held online during February 4?6, 2021. A total of 72 full and 99 short papers were carefully reviewed and selected for the conference from a total of 298 submissions; 17 selected full papers are included in this book. They were organized in topical sections named agents and arti?cial intelligence. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13251 606 $aArtificial intelligence 606 $aComputer science 606 $aComputers 606 $aComputers, Special purpose 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aComputing Milieux 606 $aSpecial Purpose and Application-Based Systems 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aComputers. 615 0$aComputers, Special purpose. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aComputing Milieux. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.3 702 $aRocha$b Ana Paula 702 $aSteels$b Luc 702 $avan den Herik$b Jaap 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910585770703321 996 $aAgents and artificial intelligence$91904835 997 $aUNINA