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

.- 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.