Highlights in Practical Applications of Agents, Multi-Agent Systems and Computational Social Science. The PAAMS Collection (eBook, PDF)

23rd International Workshops of PAAMS 2025, Lille, France, June 25-27, 2025, Proceedings
Redaktion: Nongaillard, Antoine; Sharaf, Nada; Durães, Dalila; Fernández, Alberto; González-Briones, Alfonso; Caron, Anne-Cecile

• Format: PDF

Produktbeschreibung

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)

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 220
• Erscheinungstermin: 31. Oktober 2025
• Englisch
• ISBN-13: 9783032059253
• Artikelnr.: 75791991

Inhaltsangabe

.- 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 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.