05416nam a22006135i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172050001400185072001600199072002300215072001500238245023700253250001800490264006900508300006800577336002600645337002600671338003600697347002400733490006600757505216700823520076502990650003603755650002903791650002203820650003203842650003203874650004903906650002103955650003603976650003404012650003004046650005104076650004404127650007104171700008604242700008104328700008904409710003404498773002604532776003604558776003604594830006604630856004604696912001404742912001504756912001404771999001704785978-3-031-55326-4DE-He21320251030111721.0cr nn 008mamaa240314s2024    sz |    s    |||| 0|eng d  a97830315532649978-3-031-55326-47 a10.1007/978-3-031-55326-42doi 4aQ334-342 4aTA347.A78 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aAgents and Artificial Intelligenceh[electronic resource] :b15th International Conference, ICAART 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers /cedited by Ana Paula Rocha, Luc Steels, Jaap van den Herik.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXVII, 494 p. 219 illus., 148 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Artificial Intelligence,x2945-9141 ;v145460 aAgents -- Bees, Bats and Glowworms: Swarm Algorithms for Optimizing Industrial Plants from the Bottom-Up -- Estimating the Spread of COVID-19 Due to Transportation Networks Using Agent-Based Modeling -- Dealing with the Unpredictability of Physical Resources in Real-World Multi-Agent Systems -- Coalition Alternating-Time Temporal Logic: A Logic to Find Good Coalitions to Achieve Strategic Objectives -- Holonic Energy Management Systems: Towards Flexible and Resilient Smart Grids -- Artificial Intelligence -- Predictive Explanations for and by Reinforcement Learning -- Effects of Feature Types on Donor Journey -- Data-Efficient Offline Reinforcement Learning with Approximate Symmetries -- Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups -- Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stacking -- Study on LSTM and ConvLSTM Memory-Based Deep Reinforcement Learning -- Spatial Representation and Reasoning About Fold Strata: A Qualitative Approach -- Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments -- Weight Re-Mapping for Variational Quantum Algorithms -- Effective Adaptive Strategy Selection Using Extended Fine-Tuning and CNN-Based Surrogate Model in Repeated-Encounter Bilateral Automated Negotiation -- A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks -- UTP: A Unified Term Presentation Tool For Clinical Textual Data Using Pattern-Matching Rules and Dictionary-Based Ontologies -- Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing -- Exploring Narrative Economics: An Agent-Based Co-Evolutionary Model Featuring Nonlinear Continuous-Time Opinion Dynamics -- GaSUME: A BERT-Covered Genetic Algorithm for Text Summarization -- Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques -- RDC-Repair: Towards a Relevance-Driven Approach for Data and Constraints Repair -- Developing Image-Based Classification Techniques to Analyse Customer Behaviour.  aThis book contains the revised and extended versions of selected papers from the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, held in Lisbon, Portugal, during February 22–24, 2023. The 23 full papers included in this book were carefully reviewed and selected from 306 submissions. The conference was organized in 2 tracks as follows: One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence. 0aArtificial intelligence.958441 0aComputer science.958552 0aComputers.965793 0aComputers, Special purpose. 0aComputer networks .960157 0aImage processingxDigital techniques.964228 0aComputer vision.14aArtificial Intelligence.95844124aTheory of Computation.96755224aComputing Milieux.96653024aSpecial Purpose and Application-Based Systems.24aComputer Communication Networks.96568924aComputer Imaging, Vision, Pattern Recognition and Graphics.9655501 aRocha, Ana Paula.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9730531 aSteels, Luc.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9730541 avan den Herik, Jaap.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9730552 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303155325708iPrinted edition:z9783031553271 0aLecture Notes in Artificial Intelligence,x2945-9141 ;v1454640uhttps://doi.org/10.1007/978-3-031-55326-4  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNC  c58335d58335