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[null,"1.","Record Nr.",null,"UNINA9911039326903321"]
[null,null,"Autore",null,"Nongaillard Antoine"]
[null,null,"Titolo",null,"Highlights in Practical Applications of Agents, Multi-Agent Systems and Computational Social Science. The PAAMS Collection : 23rd International Workshops of PAAMS 2025, Lille, France, June 25–27, 2025, Proceedings / / edited by Antoine Nongaillard, Anne-Cecile Caron, Alfonso González-Briones, Alberto Fernández, Dalila Durães, Nada Sharaf"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783032059253"]
[{"$nulls":4},"9783032059246"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (0 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science, , 1865-0937 ; ; 2644"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Education - Data processing"]
[{"$nulls":4},"Social sciences - Data processing"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer Engineering and Networks"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Software Engineering"]
[{"$nulls":4},"Computers and Education"]
[{"$nulls":4},"Computer Application in Social and Behavioral Sciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA).  -- Scalable Hybrid Memory System for Long-Term Conversational Assistants in Healthcare.  -- CLIP in the field: a study of plant disease detection via zero-shot and fine-tuning.  -- Agent-based Social Simulator for Analyzing Well-being and Resources: an Integrated Approach for Vulnerable Rural Communities.  -- Digital Twins and "]
[{"$nulls":4},"Virtual Assistants for Proactive Long-Term Care: The SALUS Architecture.  -- Development of a method for calculating the parameters of an agricultural crop for a digital twin of plants.  -- Redefining Transportation Simulation: Multi-Agent Models Powered by LLMs.  -- Towards a Decentralized Digital Twin for Waste Collection Fleets.  -- Intelligent IoT Framework for Home Ambient Welfare.  -- Workshop on Deep Learning Applications (DeLA).  -- Hybrid Neuro-Symbolic Learning Agents: A Graph-Theoretic Approach to Interpretable Reinforcement Learning.  -- An Explainable Approach to Predicting Academic Dropout: A Case Study at Faculdade Pernambucana de Saúde.  -- AI-Powered Automation in Healthcare: A Multi-Agent Approach with LLM.  -- TLPSC: A Particle Swarm Clustering Algorithm with Transfer Learning.  -- Towards Efficient Biogas Production: Deep Learning-Based Methane Forecasting in Anaerobic Digesters of Wastewater Treatment Plants.  -- Workshop on Digital Twinning for training purposes in Industry 4.0 (Twin4Train).  -- Digital Twinning: Generative AI for Virtual Training Systems.  -- The Role of Collaboration in Virtual Quality Control Training: Effects on Engagement and Effectiveness.  -- RAI: Flexible Agent Framework for Embodied AI.  -- Towards The Generalization Of Developing 3D Objects For Extended Reality Training."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the International Workshops on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2025, held in Lille, France, during June 25–27, 2025. The 17 revised full papers presented in this book were carefully reviewed and selected from 32 submissions. PAAMS 2025 presents the following five workshops: Workshop on Adaptive Smart areaS and Intelligent Agents (ASSIA) Workshop on Deep Learning Applications (DeLA) Workshop on Digital Twinning for training purposes in Industry 4.0 (Twin4Train)."]