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El. knyga: Agents and Artificial Intelligence: 15th International Conference, ICAART 2023, Lisbon, Portugal, February 22-24, 2023, Revised Selected Papers

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  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 14546
  • Išleidimo metai: 14-Mar-2024
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031553264
Kitos knygos pagal šią temą:
Agents and Artificial Intelligence: 15th International Conference, ICAART 2023, Lisbon, Portugal, February 22-24, 2023, Revised Selected PapersDidesnis paveikslėlis
  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 14546
  • Išleidimo metai: 14-Mar-2024
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031553264
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This 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 2224, 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.
Agents.- 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.
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