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Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science

The PAAMS Collection: 23rd International Conference, PAAMS 2025, Lille, France, June 25–27,...

Philippe Mathieu Fernando De la Prieta

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English
Springer Nature Switzerland AG
31 December 2025
This book constitutes the refereed proceedings of the 23rd International Conference on Practical applications of Agents and Multi-Agent Systems, PAAMS 2025, held in Lille, France, during June 25–27, 2025.   The 27 full papers and 9 short papers included in this book were carefully reviewed and selected from 57 submissions. The PAAMS 2025 proceedings focus on application and validation of agent-based models, methods, and technologies in a number of key application areas, including computational social science, digital twins, simulating complex systems, agents for social good, advanced models for learning, agent-based programming, distributed data analysis, automatic planning, decision-making, social interactions, formal and theoretic models, self-adaptation, mobile edge computing, swarms, and task allocation.
Edited by:   ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783032076373
ISBN 10:   3032076374
Series:   Lecture Notes in Computer Science
Pages:   384
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Forthcoming
.- Main Track. .- Transformer Based Models for Offline Multi-Agent Reinforcement Learning. .- Theory and Practice of Natural Strategy Checking in Concurrent Games with Imperfect Information. .- Optimizing road intersections using phase scheduling. .- SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2. .- Evaluating Infrastructure-Less Cooperative Parking Guidance via Agent-Based Simulation. .- Multi-Agent Reinforcement Learning with Automated Negotiation for Serial Supply Chain Management. .- Royal FLush: a MAS-based platform for Decentralized Federated Learning based on SPADE agents. .- Prioritized Path Planning for Multi-Agent Pickup and Delivery with Multi-Item Packing Problem. .- Distribution Model: Separation of Concerns to Facilitate the Distribution of Agent-Based Models. .- Towards an LLM-powered Social Digital Twinning Platform. .- Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments. .- Applying an Innovative TCN and Multi-Tasks SVM for Early Sepsis Prediction. .- Towards understanding Complex Adaptive Systems: An illustration on urban logistics. .- Efficient Assignment of Immediate Tasks Using Deep Reinforcement Learning in Multi-Agent Pickup and Delivery. .- Towards a replicable synthetic population and agent-based transport model for Bavaria. .- LDAS: Proposal for semi-optimal Storage Locations using LDA and SA .- Influence of State Representation on Algorithmic Collusion under Deep Learning. .- MASPY: A Python-Based Framework for Developing BDI Multi-Agent Systems. .- Is Generative Artificial Intelligence Ready for Computational Social Science?. .- Learning Controllability Using Destination Channels with Reward Navigation in Multi-Agent Systems. .- A migration control approach to improve security for Open MAS in IoT networks. .- Drone Swarms for Multi-Perspective Monitoring of Large Mammals in their Natural Habitats: Deployment and Field Trials. .- An Identity Based Agent Model for AI Value Alignment. .- Rasa4JaCa - A Communication Interface between Multi-agent Systems and Opensource Chatbot Technologies. .- SPADE as a MAS framework for the development of Digital Twins. .- TimeCIEL : Contextual Interactive Ensemble Learning for Time Series Classification. .- Marketing Strategies and Context Effects. .- DEMONSTRATIONS TRACK. .- Why is intersection control such a difficult task? A demonstration. .- Situated Agents in Action: Extending VEsNA with Spatial and Grabbable Artifacts. .- On the Usability and Extensibility of VITAMIN. .- Analysis, Implementation and Demonstration of the Nim Game Mathematical Winning Strategy. .- Machine learning for decision support and automation in games: agent city navigation. .- Planner-Guided Robot Swarm Demonstration with Natural Language Control. .- Demonstration: WellProdSim Social Simulator Terrain Model. .- From Console to Dashboard: A Demonstration of Real-Time Visualization for Social Simulation with WellProdSim. .- CyberAIMs: Using Agent-based Modeling & Simulation to address Strategies in Cyberspace.

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